Academic literature on the topic 'Adaptive power management'

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Journal articles on the topic "Adaptive power management"

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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.

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Jiao, 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.

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Liu, 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.

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Wee, 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.

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Moser, 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.

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Zheng, 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.

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Ro, 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.

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Park, 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.

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Levin, 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.

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Ensuring reliable operation of power transformers as part of electric power facilities is assigned to the maintenance and repair system, whose important components are diagnostics and monitoring of the technical condition. Monitoring allows you to answer the question of whether the transformer abnormalities and how to do they manifest, while diagnostics allow determining the nature, the severity of the problem, determine the cause and possible consequences. The article presents the results of the authors ' research on creating an algorithm for adaptive control of the technical condition of power transformers using diagnostic and monitoring data. The developed algorithm implements the decision-making procedure for ensuring the reliable operation of oil-filled transformer equipment as part of the substations of electric power facilities. The decision-making procedure is based on the method of statistical Bayesian identification the states of a transformer based on the results of dissolved gas analysis (DGA) in oil. The method is characterized by high reliability of recognizing defects in the transformer and the ability to adapt the probabilities of the obtained solutions to the newly received diagnostic information. These results illustrate the effectiveness of the developed approach and the possibility of its application in the operation of oil-filled transformer equipment.
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Go, 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.

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Dissertations / Theses on the topic "Adaptive power management"

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Khargharia, Bithika. "Adaptive Power and Performance Management of Computing Systems." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193653.

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With the rapid growth of servers and applications spurred by the Internet economy, power consumption in today's data centers is reaching unsustainable limits. This has led to an imminent financial, technical and environmental crisis that is impacting the society at large. Hence, it has become critically important that power consumption be efficiently managed in these computing power-houses of today. In this work, we revisit the issue of adaptive power and performance management of data center server platforms. Traditional data center servers are statically configured and always over-provisioned to be able to handle peak load. We transform these statically configured data center servers to clairvoyant entities that can sense changes in the workload and dynamically scale in capacity to adapt to the requirements of the workload. The over-provisioned server capacity is transitioned to low-power states and they remain in those states for as long as the performance remains within given acceptable thresholds. The platform power expenditure is minimized subject to performance constraints. This is formulated as a performance-per-watt optimization problem and solved using analytical power and performance models. Coarse-grained optimizations at the platform-level are refined by local optimizations at the devices-level namely - the processor & memory subsystems. Our adaptive interleaving technique for memory power management yielded about 48.8% (26.7 kJ) energy savings compared to traditional techniques measured at 4.5%. Our adaptive platform power and performance management technique demonstrated 56.25% energy savings for memory-intensive workload, 63.75% savings for processor-intensive workload and 47.5% savings for a mixed workload while maintaining platform performance within given acceptable thresholds.
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Abdelhameed, 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.

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Internet of Things (IoT), as broadband network connecting every physical objects, is becoming more widely available in various industrial, medical, home and automotive applications. In such network, the physical devices, vehicles, medical assistance, and home appliances among others are supposed to be embedded by sensors, actuators, radio frequency (RF) antennas, memory, and microprocessors, such that these devices are able to exchange data and connect with other devices in the network. Among other IoT’s pillars, wireless sensor network (WSN) is one of the main parts comprising massive clusters of spatially distributed sensor nodes dedicated for sensing and monitoring environmental conditions. The lifetime of a WSN is greatly dependent on the lifetime of the small sensor nodes, which, in turn, is primarily dependent on energy availability within every sensor node. Predominantly, the main energy source for a sensor node is supplied by a small battery attached to it. In a large WSN with massive number of deployed sensor nodes, it becomes a challenge to replace the batteries of every single sensor node especially for sensor nodes deployed in harsh environments. Consequently, powering the sensor nodes becomes a key limiting issue, which poses important challenges for their practicality and cost. Therefore, in this thesis we propose enabling WSN, as the main pillar of IoT, by means of resonant inductive coupling (RIC) wireless power transfer (WPT). In order to enable efficient energy delivery at higher range, high quality factor RIC-WPT system is required in order to boost the magnetic flux generated at the transmitting coil. However, an adaptive front-end is essential for self-tuning the resonant tank against any mismatch in the components values, distance variation, and interference from close metallic objects. Consequently, the purpose of the thesis is to develop and design an adaptive efficient switch-mode front-end for self-tuning in WPT receivers in multiple receiver system. The thesis start by giving background about the IoT system and the technical bottleneck followed by the problem statement and thesis scope. Then, Chapter 2 provides detailed backgrounds about the RIC-WPT system. Specifically, Chapter 2 analyzes the characteristics of different compensation topologies in RIC-WPT followed by the implications of mistuning on efficiency and power transfer capability. Chapter 3 discusses the concept of switch-mode gyrators as a potential candidate for generic variable reactive element synthesis while different potential applications and design cases are provided. Chapter 4 proposes two different self-tuning control for WPT receivers that utilize switch-mode gyrators as variable reactive element synthesis. The performance aspects of control approaches are discussed and evaluated as well in Chapter 4. The development and exploration of more compact front-end for self-tuned WPT receiver is investigated in Chapter 5 by proposing a phase-controlled switched inductor converter. The operation and design details of different switch-mode phase-controlled topologies are given and evaluated in the same chapter. Finally, Chapter 6 provides the conclusions and highlight the contribution of the thesis, in addition to suggesting the related future research topics.
Internet 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
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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/.

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In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and industry. The energy expenditure consumed to operate and maintain these cloud computing infrastructures is a major factor to influence the overall profit and efficiency for most cloud service providers. Moreover, considering the mitigation of environmental damage from excessive carbon dioxide emission, the amount of power consumed by enterprise-scale data centers should be constrained for protection of the environment.Generally speaking, there exists a trade-off between power consumption and application performance in large-scale computing systems and how to balance these two factors has become an important topic for researchers and engineers in cloud and HPC communities. Therefore, minimizing the power usage while satisfying the Service Level Agreements have become one of the most desirable objectives in cloud computing research and implementation. Since the fundamental feature of the cloud computing platform is hosting workloads with a variety of characteristics in a consolidated and on-demand manner, it is demanding to explore the inherent relationship between power usage and machine configurations. Subsequently, with an understanding of these inherent relationships, researchers are able to develop effective power management policies to optimize productivity by balancing power usage and system performance. In this dissertation, we develop an autonomic power-aware system management framework for large-scale computer systems. We propose a series of techniques including coarse-grain power profiling, VM power modelling, power-aware resource auto-configuration and full-system power usage simulator. These techniques help us to understand the characteristics of power consumption of various system components. Based on these techniques, we are able to test various job scheduling strategies and develop resource management approaches to enhance the systems' power efficiency.
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Chowdhury, 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.

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El-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.

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Srivastava, Vikash Umeshchandra. "Smart Antennas & Power Management in Wireless Networks." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/31244.

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The proliferation of wireless ad-hoc networks especially wireless LAN (IEEE 802.11b Standard) in the commercial market in recent years has reached a critical mass. The adoption and strong support of wireless IEEE 802.11 standard, coupled with the consequent decline in costs, has made wireless LAN deployment as one of the fastest growth area in communication access technology. With the ever increasing use of wireless LAN technology the various networks are reaching their full capacity in terms of network throughput, number of users and interference level in the wireless channel. In this thesis work I propose to the use smart antenna technology and a power management scheme in the wireless ad-hoc networks to increase the network capacity in terms of throughput, number of simultaneous communication and to lower the average transmit power and consequently co-channel interference. Power management scheme can be used to maximize the power efficiency of the transmitter by choosing an optimum transmit power level. Smart antenna or adaptive antenna array technology has reached a level of sophistication that it is feasible to use it on small mobile terminals like handheld PDA, LAPTOP and other mobile devices with limited battery power. The simulation results of various ad â hoc network scenario shows that there are significant gains to be had if these technologies can be integrated in the existing wireless LAN physical layer and/or in the standard them self. Smart antennas along with slight modification in channel access scheme reduce co-channel interference dramatically and increases the number of simultaneous transmissions hence improves network throughput. Power management algorithm is shown to improve average transmission of a node. We present a mathematical framework to characterize the outage probability of cellular mobile radio system with selective co-channel interference receiver in overloaded array environments. The mathematical framework outlines a general numerical procedure for computing the probability of outage of a cellular mobile radio system that is equipped with a smart antenna to suppress a few strongest co-channel interferers (CCI) out of a total of NI active interferers by null steering.
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Subramanian, Ashwin Srinath. "Enhancing microprocessor power efficiency through clock-data compensation." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54471.

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The Smartphone revolution and the Internet of Things (IoTs) have triggered rapid advances in complex system-on-chips (SoCs) that increasing provide more functionality within a tight power budget. Highly power efficient on die switched-capacitor voltage regulators suffer from large output voltage ripple preventing their widespread use in modern integrated circuits. With technology scaling and increasing architectural complexity, the number of transistors switching in a power domain is growing rapidly leading to major issues with respect to voltage noise. The large voltage and frequency guard-bands present in current microprocessor designs to combat voltage noise both degrade the performance and erode the energy efficiency of the design. In an effort to reduce guard-bands, adaptive clocking based systems combat the problem of voltage noise by adjusting the clock frequency during a voltage droop to avoid timing failure. This thesis presents an integrated power management and clocking scheme that utilizes clock-data compensation to achieve adaptive clocking. The design is capable of automatically con figuring the supply voltage given a target clock frequency for the load circuit. Furthermore, during a voltage droop the design adjusts clock frequency to meet critical path timing margins while simultaneously increasing the current delivered to the load to recover from the droop. The design was implemented in IBM's 130nm technology and simulation results show that the design is able to clock the load circuit from 30 MHz to 800 Mhz with current efficiencies as high as 97%.
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Dushnisky, 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.

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This thesis advances a conceptual model of adaptive impact monitoring that is designed to overcome many of the criticisms plaguing conventional monitoring strategies. The potential for applying the adaptive model is demonstrated for the Peace River Site C dam proposed for northeastern British Columbia. Environmental impact assessment (EIA) has progressed considerably from its early biophysical orientation to a more comprehensive, interdisciplinary process concerned with the breadth of environmental and socio-economic impacts of development. Impact monitoring, an essential EIA component, has also progressed but in a less innovative fashion. Consequently, conventional monitoring strategies often contain significant deficiencies including insufficient use of past experience, poor monitoring design, and failure to recognize the learning opportunity offered by each project. Adaptive impact monitoring offers significant advantages over traditional strategies. An adaptive strategy is based on a series of impact hypotheses established and tested by an interdisciplinary design team and has two fundamental stages: design and evaluation. A review of the potential environmental impacts of hydroelectric production indicates that the reservoir impact paradigm is beginning to provide a comprehensive basis for assessing development effects. Although the Site C EIA adequately reflects the reservoir impact paradigm, it has three significant weaknesses. First, the potential impacts on downstream ecology and distant downstream users are ill-considered. Second, the potential for increased Site C fisheries parasitism is neglected. Finally, estimates of maximum sustainable yield for the Site C reservoir and Peace River fisheries are unreliable. While opportunities for future impact monitoring were recognized through the Site C panel hearings, they lacked flexibility. The potential impacts on downstream water temperature and fisheries resources are used to illustrate the applicability of the adaptive strategy and the advantages derived from collecting only relevant, statistically credible data to permit testing impact hypotheses in a cost-effective manner. On the basis of these findings, six major policy recommendations are provided for improving the effectiveness of impact monitoring and management for future resource developments.
Graduate and Postdoctoral Studies
Graduate
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Ahmed, Safayet N. "Adaptive CPU-budget allocation for soft-real-time applications." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52215.

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The focus of this dissertation is adaptive CPU-budget allocation for periodic soft-real-time applications. The presented algorithms are developed in the context of a power-management framework. First, the prediction-based bandwidth scheduler (PBS) is developed. This algorithm is designed to adapt CPU-budget allocations at a faster rate than previous adaptive algorithms. Simulation results are presented to demonstrate that this approach allows for a faster response to under allocations than previous algorithms. A second algorithm is presented called Two-Stage Prediction (TSP) that improves on the PBS algorithm. Specifically, a more sophisticated algorithm is used to predict execution times and a stronger guarantee is provided on the timeliness of jobs. Implementation details and experimental results are presented for both the PBS and TSP algorithms. An abstraction is presented called virtual instruction count (VIC) to allow for more efficient budget allocation in power-managed systems. Power management decisions affect job-execution times. VIC is an abstract measure of computation that allows budget allocations to be made independent of power-management decisions. Implementation details and experimental results are presented for a VIC-based budget mechanism. Finally, a power-management framework is presented called the linear adaptive models based system (LAMbS). LAMbS is designed to minimize power consumption while honoring budget allocations specified in terms of VIC.
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Sahu, 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.

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Energy-efficient radio frequency (RF) power amplifiers (PAs) are critical and paramount to achieve longer battery life in state-of-the-art portable systems because they typically determine and dominate the power consumption of such devices. In this dissertation, a high-efficiency, linear RF PA with a dynamically adaptive supply and bias current control for code division multiple access (CDMA) and wideband CDMA (WCDMA) is conceived, simulated, and experimentally demonstrated with a discrete PCB-level design and in integrated circuit (IC) form. The PA efficiency is improved by dynamically adjusting both its supply voltage and bias current, there by minimizing its quiescent power dissipation. The PA supply voltage is derived from the battery by a noninverting, synchronous buck-boost switching regulator because of its flexible functionality and high efficiency. Adjusting the PA supply voltage and bias current by tracking the output power, instead of following the complete envelope in large baseband bandwidth wireless applications, is achieved by a converter with a lower switching frequency and consequently higher light-load efficiency, which translates to prolonged battery life. A discrete PCB-level prototype of the proposed system with 915 MHz center frequency, CDMA IS-95 signal having 27-dBm peak-output power resulted in more than four times improvement in the average efficiency compared to a fixed-supply class-AB PA while meeting the required performance specifications. In the IC solution fabricated in AMIs 0.5-micron CMOS process through MOSIS, a dual-mode, buck-boost converter with pulse-width modulation (PWM) control for high power and pulse-frequency modulation (PFM) for low power is designed and implemented to improve the PA efficiency during active and standby operation, respectively. The performance of the dynamically adaptive supply and bias control IC was validated by realizing a 25-dBm, 1.96 GHz center frequency, WCDMA PA over an input supply range of 1.4 4.2 V. The PA with dual-mode power supply and bias control IC showed an average-efficiency improvement of seven times compared to a fixed-supply class-AB PA, which translates to five times improvement in battery life assuming the PA is active for 2 % of the total time and in standby mode otherwise.
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Books on the topic "Adaptive power management"

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Steve, Michaud, ed. The power of corporate kinetics: Create the self-adapting, self-renewing, instant-action enterprise. New York: Simon & Schuster, 1998.

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Nath, Pratyay. Climate of Conquest. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199495559.001.0001.

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What can war tell us about empire? Climate of Conquest is built around this question. Pratyay Nath eschews the conventional way of writing about warfare primarily in terms of battles and technologies. Instead, he unravels the deep connections that Mughal war-making shared with the broader dynamics of society, culture, and politics. In the process, he offers a new analysis of the Mughal empire from the vantage point of war. Climate of Conquest closely studies the dynamics of the military campaigns that helped the Mughals conquer North India and project their power beyond it. In the first part, Nath argues that these campaigns unfolded in constant negotiation with the diverse natural environment of South Asia. The empire sought to discipline the environment and harness its resources to satisfy its own military needs. At the same time, environmental factors like climate, terrain, and ecology profoundly influenced Mughal military tactics, strategy, and deployment of technology. In the second part, Nath makes three main points. Firstly, he argues that Mughal military success owed a lot to the efficient management of military logistics and the labour of an enormous non-elite, non-combatant workforce. Secondly, he explores the making of imperial frontiers and highlights the roles of forts, routes, and local alliances in the process. Finally, he maps the cultural climate of war at the Mughal court and discusses how the empire legitimized war and conquest. In the process, what emerges is a fresh interpretation of Mughal empire-building as a highly adaptive, flexible, and accommodative process.
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Book chapters on the topic "Adaptive power management"

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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.

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Javaid, 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.

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Ryu, 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.

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Hu, 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.

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Joo, 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.

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Lari, 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.

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Sadeghi 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.

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Ibrahim, 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.

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Anil 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.

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Yuan, 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.

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Conference papers on the topic "Adaptive power management"

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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.

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Tan, 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.

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Saurav, 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.

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Yu 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.

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Wee, 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.

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Moser, 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.

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Lee, 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.

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Anand, 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.

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"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.

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Kaiqiang 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.

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Reports on the topic "Adaptive power management"

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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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Abstract:
Political economy analysis (PEA) has emerged as a valuable approach for assessing context and the local systems where international development actors seek to intervene. PEA approaches and tools have grown and adapted over the last 40 years through innovations by donor agencies and practitioners. Our analysis of nine PEAs reveals the following findings: PEAs can make positive contributions to technical interventions; engaging project staff in PEAs increases the likelihood that they will be open to a thinking and working politically mindset and approach; inclusion of gender equity and social inclusion (GESI) in PEAs helps to uncover and address hidden power dynamics; and explicitly connecting PEA findings to project implementation facilitates adaptive management. Implementation lessons learned include careful consideration of logistics, timing, and team members. Our experience and research suggest applied PEAs provide valuable evidence for strengthening evidence-based, adaptive, international development programming. The findings highlight the promise of PEA as well as the need for ongoing learning and research to address continued challenges.
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