Academic literature on the topic 'Optimizing'
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Journal articles on the topic "Optimizing"
Cascio, Wayne, and John Boudreau. "HR strategy: optimizing risks, optimizing rewards." Journal of Organizational Effectiveness: People and Performance 1, no. 1 (March 4, 2014): 77–97. http://dx.doi.org/10.1108/joepp-01-2014-0005.
Full textKleiber, Douglas A. "Optimizing Leisure Experience After 40." Arbor 188, no. 754 (April 30, 2012): 341–49. http://dx.doi.org/10.3989/arbor.2012.754n2007.
Full textHarrington, Cynthia. "Optimizing Optimization." CFA Institute Magazine 16, no. 5 (September 2005): 44–45. http://dx.doi.org/10.2469/cfm.v16.n5.2950.
Full textJuneja, Deven, and Manoj K. Goel. "Optimizing CPAP." Indian Journal of Sleep Medicine 1, no. 4 (2006): 189–95. http://dx.doi.org/10.5005/ijsm-1-4-189.
Full textOrlinski, Adam, Klaas De Rycke, and Moritz Heimrath. "Optimizing Reinforcement." Open Conference Proceedings 1 (February 15, 2022): 97–98. http://dx.doi.org/10.52825/ocp.v1i.83.
Full textWest, Henry R. "Beyond Optimizing." International Studies in Philosophy 25, no. 1 (1993): 106. http://dx.doi.org/10.5840/intstudphil1993251108.
Full textVan Sant, Ann F. "Optimizing Movement." Pediatric Physical Therapy 25, no. 2 (2013): 129. http://dx.doi.org/10.1097/pep.0b013e31828bf7d4.
Full textWalsh, Audrey, Donna Meagher-Stewart, and Marilyn Macdonald. "Persistent Optimizing." Qualitative Health Research 25, no. 4 (September 25, 2014): 527–39. http://dx.doi.org/10.1177/1049732314552456.
Full textLeshem, Ran, Lisa R. Goldberg, and Alan Cummings. "Optimizing Value." Journal of Portfolio Management 42, no. 2 (January 31, 2016): 77–89. http://dx.doi.org/10.3905/jpm.2016.42.2.077.
Full textMason, Virginia Fidrocki, and Kathleen H. Miller. "Optimizing Outcomes." American Journal of Nursing 101, Supplement (May 2001): 13–15. http://dx.doi.org/10.1097/00000446-200105001-00004.
Full textDissertations / Theses on the topic "Optimizing"
Pagonis, Gust W. "Optimizing strategic sealift." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304836.
Full textMansour, Ragaa Taha Ahmed. "Optimizing IVF results." Maastricht : Maastricht : Universiteit Maastricht ; University Library, Maastricht University [Host], 2003. http://arno.unimaas.nl/show.cgi?fid=6122.
Full textSpringer, Alexander D. "Optimizing cycling power." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105573.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 29).
In this study we determine a viable bioenergetic model for power allocation during a cycling race. Various models have been proposed to address power allocation in races with two models rising above others: the Morton-Margaria Three Tank model and the Skiba Energy Balance model. The energy balance model was implemented in MATLAB and compared against the gold standard implementation in Golden Cheetah to model the depletion of an athlete's energy over the course a ride. The implementation of the model was successful as verified by ride data from a cyclist in the 2014 Tour de France. Additionally, the model was further tested with sample power profiles in order to understand the depletion of energy over the course of a ride. Two key findings emerged from the investigation. First, we require a better account of exhaustion in the energy balance model which can be achieved by weighting the time spent below critical power over the time spent above critical power. This is because a cyclist becomes more exhausted by efforts at higher power outputs compared to the recovery at an effort below critical power. Second, energy balance models should use a variable time constant as rides and races have highly variable recovery periods below critical power which affects the ability of an athlete to reconstitute their energy. Use of a variable time constant could address the weighting of efforts below critical power identified in the first finding as well.
by Alexander D. Springer.
S.B.
Li, Zhipeng (Zhipeng Simon). "Optimizing Order Promising." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40116.
Full textIncludes bibliographical references (leaves 86-89).
Online purchasing is now popular following the growth of E-business. Retailers ordering online will get the exact delivery date of goods for their better management of sales operations. Suppliers should keep their competence at order promising to attract customers in the market filled with increasing competition. Generally Order Promising means that the supplier receiving an order should determine to accept the order or not. If accepted, then the supplier should determine the delivery date. Necessary data should be replied to the ordering customer. Optimizing Order Promising (OOP) is Order Promising (OP) that is optimized. This thesis probed into OP and OOP and summarized the characteristics and differences of the current OP software products on the basis of interviews and the investigation into the existing OP software suppliers - i2 Technologies, Oracle and SAP. Backed by the thorough analysis on a particular case study company, this thesis discusses the workflow and model of OOP by combining the author's own thoughts on improving existing OP workflows. A company can add many new functions to the OOP model designed in this thesis on the basis of the appropriate adjustments to the existing OP workflows and systems.
(cont.) For example, different customers can be managed in a classified way in accordance with historical sales; customer trust can be increased by the approach of Customer Allocation; every deal of the company can be guaranteed to be profitable; and no negligence to important customers will occur due to favoring unimportant customers. Moreover, in dealing with the disruptions that have frequently occurred these years, the thesis designed the order promising process dealing with emergencies for the manufacturers of public utilities, ensuring that a company will implement their social responsibility while harvesting profits.
by Zhipeng Li.
M.Eng.in Logistics
Alkozei, Mirwais, and Dipta Subhra Guha. "Optimizing packaging management." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302449.
Full textDetta projekt genomfördes på Saint Gobain Sekurit AB. Företaget är en ledande tillverkare av glasrutor och verkar inom fordonsindustrin. Syftet var att skapa en leveranskedjemodell för att optimera hanteringen av återanvändbara ställningar som ägs av kunder. Dessa används för att transportera färdiga produkter till Saint Gobains kunder. När en tom ställning returneras lagras den tills den behövs för produktion. Vad företaget behövde var optimering av hantering och spårning av återanvändbara ställningar vilket företaget ville bygga en cockpit för att tillhandahålla nödvändig information. Projektet innebar att definiera parametrar i företagets IT-miljö och se till att dessa kan användas i praktiken. Cockpiten har delats in i tre olika hårdkodade moduler som är byggda i Excel VBA, och en analysmodul. De hårdkodade modulerna gör följande: - ger en visuell, lättläst översikt över lagerstatus- genererar utlösare för operativa åtgärder för att undvika brist och minimera kostnader- möjliggör enkel avstämning med rörelser i kundportalen och underlättar reklamationsprocessen Cockpitens analysmodul fungerar som en grund för att ge input för strategiska beslut med tanke på investeringar, lagerlayout och skrotning. Designspecifikationen för cockpiten har baserats på behoven hos intressenterna i företaget och cockpiten har byggts utifrån tillgängliga rapporter. Dessutom har användarinstruktioner utvecklats och personal på företaget utbildats i användningen av den implementerade cockpiten.
Tyago, Antonello Rafael. "OPTIMIZING FINITE AUTOMATA FOR DPI ENGINES." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/2147.
Full textNos últimos 40 anos a Internet se tornou um componente central para o comércio eletrônico internacional, comunicações, e para o desenvolvimento técnico e científico. Inicialmente as pesquisas relacionadas à Internet se focavam em melhoramentos na velocidade de transmissão de dados, capacidade e cobertura geográfica. Atualmente medição, modelagem e análise em redes de computadores, particularmente classificação de tráfego, tornaram-se um ponto crucial para manutenção do funcionamento da rede. Isto se deve principalmente ao crescimento exponencial das redes de computares em termos de tamanho, complexidade e diversidade de serviços. Neste contexto, sistemas de Deep Packet Inspection (DPI) se tornaram um elemento importante para medição de tráfego, já que classificação de aplicações baseada em portas caiu em desuso devido ao tunelamento de protocolos e uso indevido de portas padrões, por exemplo, softwares P2P que usam portas não bloqueadas para burlar regras de firewalls. Tradicionalmente, sistemas de DPI classificavam tráfego usando técnicas de string matching, i.e., as assinaturas de aplicações eram representadas por strings (cadeias de caracteres). Dessa maneira o procedimento de busca de padrões se dava através da inspeção da carga útil dos pacotes a procura dessas strings. String matching funciona bem para padrões simples, porém falha ao descrever padrões mais complexos, e.g., padrões com tamanho variável. Para solucionar este problema, sistemas de DPI têm substituído assinaturas representadas com strings por padrões descritos através de expressões regulares. Embora mais precisos, sistemas de DPI demandam maior poder computacional e geralmente não escalam bem conforme as velocidades dos enlaces aumentam. Este fato abriu espaço para várias pesquisas relacionadas à otimização de tais sistemas. Aproveitando este espaço, esta tese propõe um novo modelo de Deterministic Finite Automata (DFA) para casamento de padrões em sistemas DPI, o Ranged Compressed DFA (RCDFA). O RCDFA, junto com três otimizações propostas, atingem níveis de compressão de até 98% em bases de assinaturas bem conhecidas. Além do mais, o RCDFA codificado com um novo layout de memória (ALE) proposto neste trabalho é até 46 vezes mais rápido que os motores de DPI baseados em DFAs tradicionais
Falkenberg, Christiane. "Optimizing Organic Solar Cells." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-89214.
Full textHashemian, Mozhdeh. "Optimizing Police Resources Deployment." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35378.
Full textStarzer, Michael. "Optimizing Tor Bridge Distribution." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-26543.
Full textKawasaki, Takako. "Coda constraints, optimizing representations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0010/NQ54507.pdf.
Full textBooks on the topic "Optimizing"
J, Sineath B., ed. Optimizing Windows 95. Foster City, Calif: IDG Books Worldwide, 1996.
Find full textBook chapters on the topic "Optimizing"
Abe, Shigeo. "Optimizing Features." In Pattern Classification, 205–37. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0285-4_11.
Full textWiseman, Alexander C., and James E. Cooper. "Optimizing Immunosuppression." In Kidney Transplantation: A Guide to the Care of Kidney Transplant Recipients, 137–52. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1690-7_10.
Full textSmith, Stephen. "Optimizing Code." In Programming with 64-Bit ARM Assembly Language, 307–25. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5881-1_14.
Full textSubramanian, Karun. "Optimizing SPL." In Practical Splunk Search Processing Language, 243–61. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6276-4_9.
Full textLibby, Alex. "Optimizing SVG." In Beginning SVG, 179–203. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3760-1_7.
Full textBhathagar, Himanshu. "Optimizing Designs." In Advanced ASIC Chip Synthesis, 121–46. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4419-8668-9_7.
Full textVanDyk, John K. "Optimizing Drupal." In Pro Drupal Development, 527–45. Berkeley, CA: Apress, 2008. http://dx.doi.org/10.1007/978-1-4302-0990-4_22.
Full textAntognini, Christian. "Optimizing Joins." In Troubleshooting Oracle Performance, 529–74. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-5759-2_14.
Full textHasler, Tony. "Optimizing Sorts." In Exper t Oracle SQL, 445–76. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-5978-7_17.
Full textHalladay, Kyle. "Optimizing Shaders." In Practical Shader Development, 271–82. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4457-9_14.
Full textConference papers on the topic "Optimizing"
Ananth, Prabhanjan, Divya Gupta, Yuval Ishai, and Amit Sahai. "Optimizing Obfuscation." In CCS'14: 2014 ACM SIGSAC Conference on Computer and Communications Security. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2660267.2660342.
Full textJones, Jim, and Jeffrey Jones. "Optimizing Healthcare." In 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM). IEEE, 2021. http://dx.doi.org/10.1109/healthcom49281.2021.9399021.
Full textThalinger, Christian, and John Rose. "Optimizing invokedynamic." In the 8th International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1852761.1852763.
Full textCazenave, Tristan, Swann Legras, and Veronique Ventos. "Optimizing αµ." In 2021 IEEE Conference on Games (CoG). IEEE, 2021. http://dx.doi.org/10.1109/cog52621.2021.9619088.
Full textWang, Jack M., David J. Fleet, and Aaron Hertzmann. "Optimizing walking controllers." In ACM SIGGRAPH Asia 2009 papers. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1661412.1618514.
Full textWang, Haichuan, Peng Wu, and David Padua. "Optimizing R VM." In Annual IEEE/ACM International Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2581122.2544153.
Full textZoppis, Italo, Riccardo Dondi, Eugenio Santoro, Gianluca Castelnuovo, Francesco Sicurello, and Giancarlo Mauri. "Optimizing Social Interaction." In International Workshop on Artificial Intelligence for Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006730606510657.
Full textHarris, Tim, Mark Plesko, Avraham Shinnar, and David Tarditi. "Optimizing memory transactions." In the 2006 ACM SIGPLAN conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1133981.1133984.
Full textDemir, Ömer Erdem, Premkumar Devanbu, Eric Wohlstadter, and Stefan Tai. "Optimizing layered middleware." In the 5th international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1108473.1108481.
Full textHögstedt, Karin, Doug Kimelman, and Nan Wang. "Optimizing Component Interaction." In the ACM SIGPLAN workshop. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/384197.384221.
Full textReports on the topic "Optimizing"
Brown, Gerald G., Alexandra M. Newman, Richard E. Rosenthal, and Anton A. Rowe. Optimizing Tomahawk Strikes. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada389455.
Full textDenton, Scott M. Optimizing parallel reduction operations. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/188648.
Full textSubrahmanian, V. S. Optimizing Heavily Loaded Agents. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada414341.
Full textBruins, Henderikas B. Optimizing Retort Sterilization Process. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada297900.
Full textCooper, Keith D., John Bennett, and Linda Torczon. Optimizing VHDL Intermediate Forms. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada387386.
Full textPrymak, Bill. Optimizing Multicomponent Distillation Configurations. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1855902.
Full textBoney-Harris, Gwendolyn. Optimizing Logistics for Army Transformation. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada394705.
Full textArena, Lois, and Pallavi Mantha. Moisture Research - Optimizing Wall Assemblies. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1220030.
Full textArena, L., and P. Mantha. Moisture Research - Optimizing Wall Assemblies. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1079731.
Full textTyson, J. Anthony. Optimizing New Dark Energy Experiments. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1091301.
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