Academic literature on the topic 'Adaptive power management'
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Journal articles on the topic "Adaptive power management"
Zhiyuan Ren, B. H. Krogh, and R. Marculescu. "Hierarchical Adaptive Dynamic Power Management." IEEE Transactions on Computers 54, no. 4 (April 2005): 409–20. http://dx.doi.org/10.1109/tc.2005.66.
Full textJiao, Yu, Ali R. Hurson, and Behrooz Shirazi. "Adaptive application-driven WLAN power management." Pervasive and Mobile Computing 3, no. 3 (June 2007): 255–75. http://dx.doi.org/10.1016/j.pmcj.2006.12.003.
Full textLiu, Bo, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, and Chunyan Miao. "Adaptive Power Iteration Clustering." Knowledge-Based Systems 225 (August 2021): 107118. http://dx.doi.org/10.1016/j.knosys.2021.107118.
Full textWee, Tan Kiat, and Rajesh Krishna Balan. "Adaptive display power management for OLED displays." ACM SIGCOMM Computer Communication Review 42, no. 4 (September 24, 2012): 485–90. http://dx.doi.org/10.1145/2377677.2377770.
Full textMoser, Clemens, Lothar Thiele, Davide Brunelli, and Luca Benini. "Adaptive Power Management for Environmentally Powered Systems." IEEE Transactions on Computers 59, no. 4 (April 2010): 478–91. http://dx.doi.org/10.1109/tc.2009.158.
Full textZheng, Xinying, and Yu Cai. "CMDP based adaptive power management in server clusters." Sustainable Computing: Informatics and Systems 3, no. 2 (June 2013): 70–79. http://dx.doi.org/10.1016/j.suscom.2012.08.002.
Full textRo, Cheul-Woo, and Kyung-Min Kim. "Power Management SRN Modeling based on Adaptive Timeout." Journal of the Korea Contents Association 8, no. 1 (January 28, 2008): 300–307. http://dx.doi.org/10.5392/jkca.2008.8.1.300.
Full textPark, S. O., J. K. Lee, J. H. Park, and S. J. Kim. "Adaptive power management system for mobile multimedia device." IET Communications 6, no. 11 (2012): 1407. http://dx.doi.org/10.1049/iet-com.2011.0727.
Full textLevin, Vladimir M., and Ammar A. Yahya. "Adaptive management of technical condition of power transformers." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (August 1, 2020): 3862. http://dx.doi.org/10.11591/ijece.v10i4.pp3862-3868.
Full textGo, Jaedoo, and Minseok Song. "Adaptive disk power management for portable media players." IEEE Transactions on Consumer Electronics 54, no. 4 (November 2008): 1755–60. http://dx.doi.org/10.1109/tce.2008.4711231.
Full textDissertations / Theses on the topic "Adaptive power management"
Khargharia, Bithika. "Adaptive Power and Performance Management of Computing Systems." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193653.
Full textAbdelhameed, Mohamed Ahmed Saad. "On-chip adaptive power management for WPT-Enabled IoT." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/587158.
Full textInternet de las cosas (IoT), como red de banda ancha que interconecta cualquier cosa, se está estableciendo como una tecnología valiosa en varias aplicaciones industriales, médicas, domóticas y en el sector del automóvil. En dicha red, los dispositivos físicos, los vehículos, los sistemas de asistencia médica y los electrodomésticos, entre otros, incluyen sensores, actuadores, subsistemas de comunicación, memoria y microprocesadores, de modo que son capaces de intercambiar datos e interconectarse con otros elementos de la red. Entre otros pilares que posibilitan IoT, la red de sensores inalámbricos (WSN), que es una de las partes cruciales del sistema, está formada por un conjunto masivo de nodos de sensado distribuidos espacialmente, y dedicados a sensar y monitorizar las condiciones del contexto de las cosas interconectadas. El tiempo de vida útil de una red WSN depende estrechamente del tiempo de vida de los pequeños nodos sensores, los cuales, a su vez, dependen primordialmente de la disponibilidad de energía en cada nodo sensor. La fuente principal de energía para un nodo sensor suele ser una pequeña batería integrada en él. En una red WSN con muchos nodos y con una alta densidad, es un desafío el reemplazar las baterías de cada nodo sensor, especialmente en entornos hostiles, como puedan ser en escenarios de Industria 4.0. En consecuencia, la alimentación de los nodos sensores constituye uno de los cuellos de botella que limitan un despliegue masivo práctico y de bajo coste. A tenor de estas circunstancias, en esta tesis doctoral se propone habilitar las redes WSN, como pilar principal de sistemas IoT, mediante sistemas de transferencia inalámbrica de energía (WPT) basados en acoplamiento inductivo resonante (RIC). Con objeto de posibilitar el suministro eficiente de energía a mayores distancias, deben aumentarse los factores de calidad de los elementos inductivos resonantes del sistema RIC-WPT, especialmente con el propósito de aumentar el flujo magnético generado por el inductor transmisor de energía y su acoplamiento resonante en recepción. Sin embargo, dotar al cabezal electrónico que gestiona y condicionada el flujo de energía de capacidad adaptativa es esencial para conseguir la autosintonía automática del sistema acoplado y resonante RIC-WPT, que es muy propenso a la desintonía ante desajustes en los parámetros nominales de los componentes, variaciones de distancia entre transmisor y receptores, así como debido a la interferencia de objetos metálicos. Es por tanto el objetivo central de esta tesis doctoral el concebir, proponer, diseñar y validar un sistema de WPT para múltiples receptores que incluya funciones adaptativas de autosintonía mediante circuitos conmutados de alto rendimiento energético, y susceptible de ser integrado en un chip para el condicionamiento de energía en cada receptor de forma miniaturizada y desplegable de forma masiva. La tesis empieza proporcionando una revisión del estado del arte en sistemas de IoT destacando el reto tecnológico de la alimentación energética de los nodos sensores distribuidos y planteando así el foco de la tesis doctoral. El capítulo 2 sigue con una revisión crítica del statu quo de los sistemas de transferencia inalámbrica de energía RIC-WPT. Específicamente, el capítulo 2 analiza las características de diferentes estructuras circuitales de compensación en RIC-WPT seguido de una descripción crítica de las implicaciones de la desintonía en la eficiencia y la capacidad de transferencia energética del sistema. El capítulo 3 propone y explora el concepto de utilizar circuitos conmutados con función de girador como potenciales candidatos para la síntesis de propósito general de elementos reactivos variables sintonizables electrónicamente, incluyendo varias aplicaciones y casos de uso. El capítulo 4 propone dos alternativas para métodos y circuitos de control para la autosintonía de receptores de energía
Zhang, Ziming. "Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804939/.
Full textChowdhury, S. M. Sifat Morshed. "Adaptive Cell Balancing for Modular Battery Management Systems." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1589392523754789.
Full textEl-Banhawy, M. H. "New Adaptive Load Shedding Scheme for the Abu Dhabi power system (UAE)." Thesis, City University London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383986.
Full textSrivastava, Vikash Umeshchandra. "Smart Antennas & Power Management in Wireless Networks." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/31244.
Full textMaster of Science
Subramanian, Ashwin Srinath. "Enhancing microprocessor power efficiency through clock-data compensation." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54471.
Full textDushnisky, Kelvin Paul Michael. "An adaptive impact monitoring and management strategy for resource development projects." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26251.
Full textGraduate and Postdoctoral Studies
Graduate
Ahmed, Safayet N. "Adaptive CPU-budget allocation for soft-real-time applications." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52215.
Full textSahu, Biranchinath. "Integrated, Dynamically Adaptive Supplies for Linear RF Power Amplifiers in Portable Applications." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7607.
Full textBooks on the topic "Adaptive power management"
Steve, Michaud, ed. The power of corporate kinetics: Create the self-adapting, self-renewing, instant-action enterprise. New York: Simon & Schuster, 1998.
Find full textNath, Pratyay. Climate of Conquest. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199495559.001.0001.
Full textBook chapters on the topic "Adaptive power management"
Zhang, Yi, and D. Brian Ma. "SIMO Power Converters with Adaptive PCCM Operation." In Power Management Integrated Circuits, 71–97. Boca Raton : Taylor & Francis Group, 2016. | Series: Devices, circuits, and systems: CRC Press, 2017. http://dx.doi.org/10.1201/9781315373362-3.
Full textJavaid, Haris, and Sri Parameswaran. "Power Management in Adaptive Pipelined MPSoCs." In Pipelined Multiprocessor System-on-Chip for Multimedia, 127–45. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01113-4_7.
Full textRyu, Jeong-Tak, and Kyung Ki Kim. "Adaptive Power Management for Nanoscale SoC Design." In Communication and Networking, 437–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27201-1_49.
Full textHu, Haibo, Jianliang Xu, and Dik Lun Lee. "Adaptive Power-Aware Prefetching Schemes for Mobile Broadcast Environments." In Mobile Data Management, 374–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36389-0_31.
Full textJoo, Jhi-Young, Jonathan Donadee, and Marija Ilić. "Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management." In Power Electronics and Power Systems, 225–46. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-0-387-09736-7_8.
Full textLari, Vahid. "Self-adaptive Power and Energy Management for TCPAs." In Invasive Tightly Coupled Processor Arrays, 83–113. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1058-3_3.
Full textSadeghi Gougheri, Hesam, and Mehdi Kiani. "Adaptive and Efficient Integrated Power Management Structures for Inductive Power Delivery." In IoT and Low-Power Wireless, 345–74. Boca Raton, FL: CRC Press/Taylor & Francis Group, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: CRC Press, 2018. http://dx.doi.org/10.1201/9781351251662-12.
Full textIbrahim, Shadi, Diana Moise, Houssem-Eddine Chihoub, Alexandra Carpen-Amarie, Luc Bougé, and Gabriel Antoniu. "Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop." In Adaptive Resource Management and Scheduling for Cloud Computing, 147–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13464-2_11.
Full textAnil Naga Sai, P., P. Naveen Kumar, and A. Velmurugan. "Adaptive Image Compression Projection Based on Deep Neural Network." In Advances in Power Systems and Energy Management, 635–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_64.
Full textYuan, Cangzhou, Jiewei Ke, Yuxiao Liu, You Yue, and Lei Wang. "A Self-adaptive Power Management Method Based on Heartbeats." In Lecture Notes in Electrical Engineering, 385–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54900-7_54.
Full textConference papers on the topic "Adaptive power management"
Luiz, Saulo O. D., Angelo Perkusich, and A. M. N. Lima. "Adaptive control for power management." In 2011 9th IEEE International Conference on Control and Automation (ICCA). IEEE, 2011. http://dx.doi.org/10.1109/icca.2011.6138009.
Full textTan, Ying, Wei Liu, and Qinru Qiu. "Adaptive power management using reinforcement learning." In the 2009 International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1687399.1687486.
Full textSaurav, Sumit Kumar, Ganga Prasad G.L, and Manisha Chauhan. "Adaptive Power Management for HPC applications." In 2016 2nd International Conference on Green High Performance Computing (ICGHPC). IEEE, 2016. http://dx.doi.org/10.1109/icghpc.2016.7508065.
Full textYu Jiao, A. R. Hurson, and B. A. Shirazi. "Online adaptive application-driven WLAN power management." In GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1578243.
Full textWee, Tan Kiat, and Rajesh Krishna Balan. "Adaptive display power management for OLED displays." In the first ACM international workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2342480.2342487.
Full textMoser, Clemens, Lothar Thiele, Davide Brunelli, and Luca Benini. "Adaptive Power Management in Energy Harvesting Systems." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364689.
Full textLee, Jae-Beom, Myeongjing Kim, Eui-Young Chung, and Seung Ryeol Yoo. "Adaptive power management in LTE terminal modem." In 2014 International Symposium on Consumer Electronics (ICSE). IEEE, 2014. http://dx.doi.org/10.1109/isce.2014.6884356.
Full textAnand, Bhojan, Karthik Thirugnanam, Jeena Sebastian, Pravein G. Kannan, Akhihebbal L. Ananda, Mun Choon Chan, and Rajesh Krishna Balan. "Adaptive display power management for mobile games." In the 9th international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1999995.2000002.
Full text"SELF-ADAPTIVE NOC POWER MANAGEMENT WITH DUAL-LEVEL AGENTS - Architecture and Implementation." In Self-Adaptive Networked Embedded Systems. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003942204500458.
Full textKaiqiang Wu, Yi Liu, Haiwen Zhang, and Depei Qian. "Adaptive power management with fine-grained delay constraints." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5565140.
Full textReports on the topic "Adaptive power management"
McGregor, Lisa, Sarah Frazer, and Derick Brinkerhoff. Thinking and Working Politically: Lessons from Diverse and Inclusive Applied Political Economy Analysis. RTI Press, April 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0038.2004.
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