Relevant bibliographies by topics / Energy-quality scaling

Academic literature on the topic 'Energy-quality scaling'

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Published: 14 March 2023

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Journal articles on the topic "Energy-quality scaling"

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Gong, Xiao-Hui, Hao Liu, Jia-Tong Sun, Xin-Sheng Zhang, and Xiao-Fan Sun. "Scaling-based energy-quality multilevel control for aerial imagery." Optoelectronics Letters 14, no. 5 (September 2018): 384–90. http://dx.doi.org/10.1007/s11801-018-7190-2.

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Liu, Jie, Lixin Xie, Zhi Wang, and Junsheng Yuan. "Dual-stage nanofiltration seawater desalination: water quality, scaling and energy consumption." Desalination and Water Treatment 52, no. 1-3 (May 30, 2013): 134–44. http://dx.doi.org/10.1080/19443994.2013.793991.

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Teo, Jinq Horng, Shuai Cheng, and Massimo Alioto. "Low-Energy Voice Activity Detection via Energy-Quality Scaling From Data Conversion to Machine Learning." IEEE Transactions on Circuits and Systems I: Regular Papers 67, no. 4 (April 2020): 1378–88. http://dx.doi.org/10.1109/tcsi.2019.2960843.

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Alioto, Massimo, Vivek De, and Andrea Marongiu. "Energy-Quality Scalable Integrated Circuits and Systems: Continuing Energy Scaling in the Twilight of Moore’s Law." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8, no. 4 (December 2018): 653–78. http://dx.doi.org/10.1109/jetcas.2018.2881461.

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Huang, Jiwei, and Chuang Lin. "Improving Energy Efficiency in Web Services." International Journal of Web Services Research 10, no. 1 (January 2013): 29–52. http://dx.doi.org/10.4018/jwsr.2013010102.

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With the rapid increase of the energy consumption associated with IT systems and services, energy efficiency is becoming a critical issue in the design, development and management of web service systems. One of the main mechanisms that can be used to reduce the energy consumption is dynamic speed scaling which scales the frequencies of the processors of web servers at hardware level. Another approach is service selection to facilitate the use of energy through effective distribution and management of the web services. In this paper, both the web service selection and server dynamic speed scaling are optimized by maximizing the quality of service (QoS) revenue and minimizing energy costs. Stochastic models of web service systems are proposed, and techniques for quantitative analysis of the performance and energy consumption are investigated. The authors formulate the service selection and speed scaling as a Markov Decision problem, and introduce related algorithms to solve it. Furthermore, the authors build up an optimization framework using multi-agent techniques, and design efficient algorithms to solve the problem in large-scale web service systems. Finally, the effectiveness of their approach is validated by simulation experiments.
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Jeong, Jonghyun, and Youngmin Kim. "ASAD-RD: Accuracy Scalable Approximate Divider Based on Restoring Division for Energy Efficiency." Electronics 10, no. 1 (December 28, 2020): 31. http://dx.doi.org/10.3390/electronics10010031.

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Approximate computing can considerably improve energy efficiency by mitigating the accuracy requirements of calculations in error resilient application programming, such as machine learning, audio–video signal processing, data mining, and search engines. In this study, we propose an approximate divider for dynamic energy-quality scaling, which involves a trade-off between accuracy and latency. Previous approximate dividers for dynamic energy-quality scaling are well-configured, but lack energy-quality scalability. The key is to create a more accurate dynamic approximate divider while extending the limits of accuracy to maximize energy efficiency and meet various accuracy requirements. The proposed divider, called the accuracy scalable approximate divider based on restoring division (ASAD-RD), uses restoring division to significantly improve the error of the approximate divider and to use less latency. For the 8-bit division, SAADI, the previous design, has an average accuracy of 90.78% to 98.77%; however, ASAD-RD can improve the accuracy between 95.2% and 99.23% and hardly requires additional power consumption. Furthermore, for the same target accuracy, ASAD-RD requires fewer cycle iterations than SAADI. Thus, ASAD-RD requires lower energy than SAADI and can operate as an energy-efficient approximate divider.
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Dürr, Christoph, Łukasz Jeż, and Óscar C. Vásquez. "Mechanism design for aggregating energy consumption and quality of service in speed scaling scheduling." Theoretical Computer Science 695 (September 2017): 28–41. http://dx.doi.org/10.1016/j.tcs.2017.07.020.

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Mandl, A., A. Zavriyev, and D. E. Klimek. "Energy scaling and beam quality studies of a zigzag solid-state plastic dye laser." IEEE Journal of Quantum Electronics 32, no. 10 (1996): 1723–26. http://dx.doi.org/10.1109/3.538775.

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Ketola, Tarmo, Janne S. Kotiaho, Dominique Mazzi, and Mikael Puurtinen. "Inbreeding depression in intraspecific metabolic scaling." Animal Biology 63, no. 3 (2013): 357–67. http://dx.doi.org/10.1163/15707563-00002418.

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Metabolic scaling (i.e., the relationship between the size and metabolic rate of organisms) has been suggested to explain a large variety of biological patterns from individual growth to species diversity. However, considerable disagreement remains regarding the underlying causes of metabolic scaling patterns, and what these patterns are. As in all biology, understanding metabolic scaling will require understanding its evolution by natural selection. We searched for evidence of natural selection on metabolic scaling indirectly by manipulating the genetic quality of male and female Drosophila montana flies with induced mutations and inbreeding, building on the notion that mutations and inbreeding will cause predictable changes in characters under directional selection. Irradiation-induced mutations had no effect on the examined traits, most likely because of purging at an early stage. However, inbreeding increased the energy use of larger females, suggesting that selection has favoured low metabolic scaling in females. Inbreeding did not affect metabolic scaling of males. Together, our results suggest that natural selection on metabolic scaling acts differently on the sexes, depending on the relative importance of body size and energetic efficiency to individual fitness. The results call attention to the important notion that size-specific energy use can be an evolutionarily malleable trait.
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ILONCA, G., A. V. POP, T. JURCUT, E. MOCOCEAN, C. BEIUSEANU, C. LUNG, G. STIUFIUC, R. STIUFIUC, M. YE, and R. DELTOUR. "MAGNETIC FIELD AND TEMPERATURE DEPENDENCE OF THERMALLY ACTIVATED DISSIPATION IN EPITAXIAL THIN FILMS OF YBa2 (Cu1-xZnx)3O7-d." Modern Physics Letters B 15, no. 22 (September 20, 2001): 949–57. http://dx.doi.org/10.1142/s0217984901002786.

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The scaling behavior of the effective activation energy of high-quality epitaxial c-oriented YBa 2( Cu 1-x Zn x)3 O 7-d thin films has been studied as a function of temperature and magnetic field. For all samples, the effective activation energy scales as U(T, μ0H) = U0(1 - T/T c )mHn with exponent m = 1.6 ± 0.02 - 1.3 ± 0.02 and the field scaling 1/μ0H and - ln μ0H for thick films and ultrathin films, respectively. The results are discussed taking account of the influence of the Zn substitution on the flux pinning in epitaxial YBa 2( Cu 1-x Zn x)3 O 7-d thin films.
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Dissertations / Theses on the topic "Energy-quality scaling"

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Ravindran, Rajeswaran Chockalingapuram. "Scheduling Heuristics for Maximizing the Output Quality of Iris Task Graphs in Multiprocessor Environment with Time and Energy Bounds." 2012. https://scholarworks.umass.edu/theses/826.

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Embedded real time applications are often subject to time and energy constraints. Real time applications are usually characterized by logically separable set of tasks with precedence constraints. The computational effort behind each of the task in the system is responsible for a physical functionality of the embedded system. In this work we mainly define theoretical models for relating the quality of the physical func- tionality to the computational load of the tasks and develop optimization problems to maximize the quality of the system subject to various constraints like time and energy. Specifically, the novelties in this work are three fold. This work deals with maximizing the final output quality of a set of precedence constrained tasks whose quality can be expressed with appropriate cost functions. We have developed heuristic scheduling algorithms for maximizing the quality of final output of embedded applications. This work also dealswith the fact that the quality of output of a task in the system has noticeable effect on quality of output of the other dependent tasks in the system. Finally run time characteristics of the tasks are also modeled by simulating a distribution of run times for the tasks, which provides for averaged quality of output for the system rather than un-sampled quality based on arbitrary run times. Many real-time tasks fall into the IRIS (Increased Reward with Increased Service) category. Such tasks can be prematurely terminated at the cost of poorer quality output. In this work, we study the scheduling of IRIS tasks on multiprocessors. IRIS tasks may be dependent, with one task feeding other tasks in a Task Precedence Graph (TPG). Task output quality depends on the quality of the input data as well as on the execution time that is allowed. We study the allocation/scheduling of IRIS TPGs on multiprocessors to maximize output quality. The heuristics developed can effectively reclaim resources when tasks finish earlier than their estimated worst-case execution time. Dynamic voltage scaling is used to manage energy consumption and keep it within specified bounds.
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Books on the topic "Energy-quality scaling"

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Salinas-Rodríguez, Sergio G., Juan Arévalo, Juan Manuel Ortiz, Eduard Borràs-Camps, Victor Monsalvo-Garcia, Maria D. Kennedy, and Abraham Esteve-Núñez, eds. Microbial Desalination Cells for Low Energy Drinking Water. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789062120.

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The world's largest demonstrator of a revolutionary energy system in desalination for drinking water production is in operation. MIDES uses Microbial Desalination Cells (MDC) in a pre-treatment step for reverse osmosis (RO), for simultaneous saline stream desalination and wastewater treatment. MDCs are based on bio-electro-chemical technology, in which biological wastewater treatment can be coupled to the desalination of a saline stream using ion exchange membranes without external energy input. MDCs simultaneously treat wastewater and perform desalination using the energy contained in the wastewater. In fact, an MDC can produce around 1.8 kWh of bioelectricity from the energy contained in 1 m3 of wastewater. Compared to traditional RO, more than 3 kWh/m3 of electrical energy is saved. With this novel technology, two low-quality water streams (saline stream, wastewater) are transformed into two high-quality streams (desalinated water, treated wastewater) suitable for further uses. An exhaustive scaling-up process was carried out in which all MIDES partners worked together on nanostructured electrodes, antifouling membranes, electrochemical reactor design and optimization, life cycle assessment, microbial electrochemistry and physiology expertise, and process engineering and control. The roadmap of the lab-MDC upscaling goes through the assembly of a pre-pilot MDC, towards the development of the demonstrator of the MDC technology (patented). Nominal desalination rate between 4-11 Lm-2h-1 is reached with a current efficiency of 40 %. After the scalability success, two MDC pilot plants were designed and constructed consisting of one stack of 15 MDC pilot units with a 0.4 m2 electrode area per unit. This book presents the information generated throughout the EU funded MIDES project and includes the latest developments related to desalination of sea water and brackish water by applying microbial desalination cells. ISBN: 9781789062113 (Paperback) ISBN: 9781789062120 (eBook)
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Book chapters on the topic "Energy-quality scaling"

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Bohn, W. L., and Th Hall. "Effect of Beam Quality on the Scaling of High-Energy Flow Lasers." In Gas Flow and Chemical Lasers, 90–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71859-5_15.

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Dürr, Christoph, Łukasz Jeż, and Óscar C. Vásquez. "Mechanism Design for Aggregating Energy Consumption and Quality of Service in Speed Scaling Scheduling." In Web and Internet Economics, 134–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45046-4_12.

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Tran, Thierry, Adebayo Abass, Luis Alejandro Taborda Andrade, Arnaud Chapuis, Marcelo Precoppe, Laurent Adinsi, Alexandre Bouniol, et al. "Cost-Effective Cassava Processing: Case Study of Small-Scale Flash-Dryer Reengineering." In Root, Tuber and Banana Food System Innovations, 105–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92022-7_4.

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AbstractThe development and scaling out of flash-dryer innovations for more efficient, small-scale production of high-quality cassava flour (HQCF) and starch is described. The diagnoses of cassava-processing SMEs (small and medium enterprises) revealed their energy expenditures for drying were considerably higher than those of large-scale industrial companies, which was mostly due to suboptimal design of flash-drying systems. As a result, small-scale production of cassava starch and HQCF often incurs high production costs, incompatible with market prices of final products. Taking stock of this situation, RTB scientists have developed several innovations to optimize energy efficiency and costs, including a longer drying pipe, reengineered heat exchanger, larger blower for higher air velocity, and a higher product/air ratio. This was based on numerical modelling to determine the key design features of energy-efficient flash dryers, followed by construction and demonstration of a pilot-scale prototype. As a result, improved small-scale flash dryers are now being scaled out to the private sector in various countries, using the Scaling Readiness framework and achieving 10–15% gains in productivity and incomes. A method for diagnosis of process efficiency is also described, to identify technical bottlenecks and to document and measure the outcomes and impacts during the implementation of scaling-out projects.
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Ntalaperas, Dimitris, Iosif Angelidis, Giorgos Vafeiadis, and Danai Vergeti. "A Decision-Support System for the Digitization of Circular Supply Chains." In New Business Models for the Reuse of Secondary Resources from WEEEs, 97–107. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74886-9_8.

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AbstractAs it has been already explained, it is very important for circular economies to minimize the wasted resources, as well as maximize the utilization value of the existing ones. To that end, experts can evaluate the materials and give an accurate estimation for both aspects. In that case, one might wonder, why is a decision support system employing machine learning necessary? While a fully automated machine learning model rarely surpasses a human’s ability in such tasks, there are several advantages in employing one. For starters, human experts will be more expensive to employ, rather than use an algorithm. One could claim that research towards developing an efficient and fully automated decision support system would end up costing more than employing actual human experts. In this instance, it is paramount to think long-term. Investing in this kind of research will create systems which are reusable, extensible, and scalable. This aspect alone more than remedies the initial costs. It is also important to observe that, if the number of wastes to be processed is more than the human experts can process in a timely fashion, they will not be able to provide their services, even if employment costs were not a concern. On the contrary, a machine learning model is perfectly capable of scaling to humongous amounts of data, conducting fast data processing and decision making. For power plants with particularly fast processing needs, an automated decision support system is an important asset. Moreover, a decision support system can predict the future based on past observations. While not always entirely spot on, it can give a future estimation about aspects such as energy required, amounts of wastes produced etc. in the future. Therefore, processing plants can plan of time and adapt to specific needs. A human expert can provide this as well to some degree, but on a much smaller scale. Especially in time series forecasting, it is interesting to note that, even if a decision support model does not predict exact values, it is highly likely to predict trends of the value increasing or decreasing in certain ranges. In the next sections, we are going to describe the four machine learning models that were developed and which compose the Decision Support System of FENIX. Section 8.1 describes how we predict the quality of the extracted materials based on features such as temperature, extruder speed, etc. Section 8.2 describes the process of extracting heuristic rules based on existing results. Section 8.3 describes how FENIX provides time-series forecasting to predict the future of a variable based on past observations. Finally, Sect. 8.4 describes the process of classifying materials based on images.
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Cao, Fei, Michelle M. Zhu, and Chase Q. Wu. "Green Cloud Computing with Efficient Resource Allocation Approach." In Green Services Engineering, Optimization, and Modeling in the Technological Age, 116–48. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8447-8.ch005.

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Due to the increasing deployment of data centers around the globe escalated by the higher electricity price, the energy cost on running the computing, communication and cooling together with the amount of CO2 emissions have skyrocketed. In order to maintain sustainable Cloud computing facing with ever-increasing problem complexity and big data size in the next decades, this chapter presents vision and challenges for energy-aware management of Cloud computing environments. We design and develop energy-aware scientific workflow scheduling algorithm to minimize energy consumption and CO2 emission while still satisfying certain Quality of Service (QoS). Furthermore, we also apply Dynamic Voltage and Frequency Scaling (DVFS) and DNS scheme to further reduce energy consumption within acceptable performance bounds. The effectiveness of our algorithm is evaluated under various performance metrics and experimental scenarios using software adapted from open source CloudSim simulator.
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Wu, Fan, Emmanuel Agu, Clifford Lindsay, and Chung-han Chen. "UbiWave." In Handheld Computing for Mobile Commerce, 124–79. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-761-9.ch008.

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Advances in ubiquitous displays and wireless communications have fueled the emergence of exciting mobile graphics applications including 3D virtual product catalogs, 3D maps, security monitoring systems and mobile games. Current trends that use cameras to capture geometry, material re?ectance and other graphics elements mean that very high resolution inputs are accessible to render extremely photorealistic scenes. However, captured graphics content can be many gigabytes in size, and must be simpli?ed before they can be used on small mobile devices, which have limited resources, such as memory, screen size and battery energy. Scaling and converting graphics content to a suitable rendering format involves running several software tools, and selecting the best resolution for target mobile device is often done by trial and error, which all takes time. Wireless errors can also affect transmitted content and aggressive compression is needed for low-bandwidth wireless networks. Most rendering algorithms are currently optimized for visual realism and speed, but are not resource or energy ef?cient on a mobile device. This chapter focuses on the improvement of rendering performance by reducing the impacts of these problems with UbiWave, an end-to-end framework to enable real time mobile access to high resolution graphics using wavelets. The framework tackles the issues including simpli?cation, transmission, and resource ef?cient rendering of graphics content on mobile device based on wavelets by utilizing 1) a Perceptual Error Metric (PoI) for automatically computing the best resolution of graphics content for a given mobile display to eliminate guesswork and save resources, 2) Unequal Error Protection (UEP) to improve the resilience to wireless errors, 3) an Energy-ef?cient Adaptive Real-time Rendering (EARR) heuristic to balance energy consumption, rendering speed and image quality and 4) an Energy-ef?cient Streaming Technique. The results facilitate a new class of mobile graphics application which can gracefully adapt the lowest acceptable rendering resolution to the wireless network conditions and the availability of resources and battery energy on mobile device adaptively.
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Nahemiah, Danbaba, Iro Nkama, Idakwo Paul Yahaya, Mamudu Halidu Badau, and Aliyu Umar. "Advances in Rice Postharvest Loss Reduction Strategies in Africa through Low Grade Broken Rice Fractions and Husk Value Addition." In Recent Advances in Rice Research. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94273.

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Paddy production in African is increasing at a significantly impressive rate due to increased public and private sector investment, the introduction of high yielding varieties and improved production practices. But about 40% or more of this quantity does not reach the table of consumers largely due to post-harvest losses. These losses are subdivided into physical grain loss (PGL) and grain quality loss (GQL). Efforts towards reducing these losses through valorisation of low quality rice and processing by-products has received attention over the last few years. Innovative development and out scaling of simple, cost effective, adoptable and well-defined practical technology to convert low grade milled rice to nutrient dense value-added products that could be used for family meals or weaning purposes and utilization of rice husk for energy is the new way to go. This paper reviews major advance made especially by the Africa-Wide Taskforce on rice processing and value addition and its partners in developing strategies for minimizing postharvest loss in Africa through the development of technologies for utilization of broken rice fractions and rice husk to reduce postharvest losses. Major challenges mitigating the adoption of this technologies and possible opportunities in the rice postharvest value chain that can attract investment for the improvement of rice production and reduction in rice postharvest losses are also outlined. This synthesis we believe will help in providing future direction for research and support for sustainable rice postharvest system in Africa.
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Hamouda, Ragaa A., Nada M. Doleib, and Muhammad A. Abuelmagd. "Scaling Up and Harvesting of Algae." In Handbook of Research on Algae as a Sustainable Solution for Food, Energy, and the Environment, 197–227. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2438-4.ch008.

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The scaling up and increment of the algal cultures cultivation process is a complex task that requires experienced staff. Some parameters such as biomass yield, biomass productivity, and specific growth should be calculated using the findings of laboratory scale that might be relevant for large-scale production as it provides a baseline to visualize and to verify production balance-related problems in the algal production system. The main goal of scale-up is to increase the production quantities with comparable or higher productivity and product quality. The harvesting process of the algal biomass represents a major hindrance in microalgae industry as it is approximately ranged from 20 to 30% of the total cost of the cultivation. There are many harvesting techniques such as physical, chemical, biological methods, and magnetic particle facilitated separation. This chapter has summarized the research progress in algal scaling up by optimizing different parameters such as light, temperature, nutrients, and strain selection.
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Conference papers on the topic "Energy-quality scaling"

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Kim, Younghyun, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, and Di Wu. "Approximate Hardware Techniques for Energy-Quality Scaling Across the System." In 2020 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2020. http://dx.doi.org/10.1109/iceic49074.2020.9051208.

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Kaz, Alex, Larry R. Marshall, Albert Pinto, and Richard Utano. "Scaling Optical Parametric Oscillators in Power, Energy, and Beam Quality." In Advanced Solid State Lasers. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/assl.1994.po11.

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Chen, Qiubo, Hengyu Zhao, Hongbin Sun, and Nanning Zheng. "Exploiting bit-depth scaling for quality-scalable energy efficient display processing." In 2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2015. http://dx.doi.org/10.1109/iscas.2015.7169157.

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Kodukula, Venkatesh, Mason Manetta, and Robert LiKamWa. "Adaptive voltage scaling to balance energy savings and image quality in cameras." In MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3498361.3538776.

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Mandl, Alexander E., Anton Zavriyev, and Daniel E. Klimek. "Energy scaling and beam-quality improvement of a zigzag solid state plastic dye laser." In Photonics West '96, edited by Richard Scheps. SPIE, 1996. http://dx.doi.org/10.1117/12.236171.

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Vallabhaneni, Ajit K., Jeffrey F. Rhoads, Xiulin Ruan, and Jayathi Y. Murthy. "Unusual Scaling Observations in the Quality Factors of Cantilevered Carbon Nanotube Resonators." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40394.

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This work examines the quality factors (Q factors) of resonance associated with the axial and transverse vibrations of single-wall carbon nanotube (SWCNT) resonators through the use of molecular dynamics (MD) simulation. Specifically, the work investigates the effect of device length, diameter, and chirality, as well as temperature, on the resonant frequency and quality factor of these devices, and benchmarks the results of MD simulation against classical theories of energy dissipation. Of note are the facts that the quality factors associated with transverse vibration decrease with increasing device diameter and are largely insensitive to chirality. Additionally, quality factors increase with increasing device length for transverse vibrations, but remain almost constant for axial vibrations. The predicted size dependence of the quality factors associated with axial vibration agrees well with classical theory, if the nanoscale size effect of thermal conductivity is properly accounted for. However, the size dependence of the quality factors associated with transverse vibrations deviates significantly from classical theory.
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Krapchev, Vladimir B. "Scaling laws for atmospheric thermal blooming." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.ww1.

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The propagation of ground-based high energy lasers through the atmosphere leads to heating of the air due to molecular and aerosol absorption.1 This heating changes the local refractive index and the rays diverge from the center of the beam leading to thermal blooming. While the direct energy loss from absorption is small, the phase distortion from thermal blooming degrades the beam quality. To compensate for thermal blooming, one has to correct the beam phase at the transmitter. This is achieved by a closed loop adaptive optics. The conjugate of the incoming beacon phase is imposed on the outgoing laser beam. The phase compensation leads to instability, which places a limit on the critical HEL power (Pc) that can be transmitted through the atmosphere at a given beam diameter (D). The scaling law, Pc ~ Db is of critical importance for the design of a beam director. The role of the refractive index and velocity turbulence of the atmosphere have been studied. Without velocity turbulence the scaling law is Pc ~ D, and with velocity turbulence the result is Pc ~ D1.5.
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Cho, Chun-Yu, Je-Hau Shr, and Xin-Cheng Lin. "Investigation to the passively Q-switched laser analytical model with pump beam quality." In Advanced Solid State Lasers. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/assl.2022.jw3b.8.

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Modeling of PQS laser with spatial dependence is investigated to show that the threshold power will be significantly different when the pump beam quality was included. Energy scaling to millijoule is further demonstrated for verification.
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Jewell, J. L., S. L. McCall, Y. H. Lee, A. Scherer, A. C. Gossard, and J. H. English. "Scaling of Optical Logic Devices and Arrays." In Optical Bistability. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/obi.1988.thb.4.

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The use of ion-beam-assisted etching to form ~ 1.5-µm diameter waveguiding "posts", or microresonators, in a GaAs/AlAs Fabry-Perot structure grown entirely by molecular beam epitaxy has reduced the device cross-sectional areas, energy requirements and recovery times all by more than an order of magnitude1. Prior to etching the minimum controlling energy required for an optical logic etalon operation2 was 20 pJ. The device diameter, defined as the illuminated region, was about 10 µm and recovery time was estimated to be several ns, both inferred from measurements on comparable devices. For 1.5-µm microresonators the energy is 0.6 pJ and recovery time, ~ 200 ps (Fig. 1). Thus, at least over this size range, the energy and time requirements scale directly with cross-sectional area. It is likely that this scaling will continue down to λ/n diameters, i.e. to 1/4 µm for GaAs, or another factor 36 in area. This would reduce controlling energies to ~ 17 fJ and recovery times to ~ 6 ps for the same Fabry-Perot design. The energies (but not recovery times) should be much further reduced by use of thinner, higher-finesse etalons, and much further still by use of excitonic nonlinearities which are not cancelled out by bandgap renormalization. The latter might be obtained from sufficiently-high-quality quantum confining semiconductors or operation at reduced temperatures. With all these improvements, controlling energies should approach the statistical limit of a few hundred photons3,4.
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Nan, Liew Kaeng, and Lee Meng Lung. "TEM Sample Preparation by Single-Sided Low-Energy Ion Beam Etching." In ISTFA 2011. ASM International, 2011. http://dx.doi.org/10.31399/asm.cp.istfa2011p0305.

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Abstract Conventional FIB ex-situ lift-out is the most common technique for TEM sample preparation. However, the scaling of semiconductor device structures poses great challenge to the method since the critical dimension of device becomes smaller than normal TEM sample thickness. In this paper, a technique combining 30 keV FIB milling and 3 keV ion beam etching is introduced to prepare the TEM specimen. It can be used by existing FIBs that are not equipped with low-energy ion beam. By this method, the overlapping pattern can be eliminated while maintaining good image quality.
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Reports on the topic "Energy-quality scaling"

1

Turner, Marc J., and Lora L. Pinkerton. Quality Guidelines for Energy System Studies: Capital Cost Scaling Methodology. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1513277.

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2

Zoelle, Alexander, and Norma Kuehn. Quality Guidelines for Energy System Studies: Capital Cost Scaling Methodology: Revision 4 Report. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1573493.

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3

Turner, Marc, and A. T. Samaei. Quality Guidelines for Energy System Studies: Capital Cost Scaling Methodology: Revision 3 Reports and Prior. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1567182.

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