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Relevant bibliographies by topics / Energy-Accuracy Scaling

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Academic literature on the topic 'Energy-Accuracy Scaling'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Energy-Accuracy Scaling"

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Raquibuzzaman, Md, Aleksandar Milenkovic, and Biswajit Ray. "EXPRESS: Exploiting Energy–Accuracy Tradeoffs in 3D NAND Flash Memory for Energy-Efficient Storage." Electronics 11, no. 3 (2022): 424. http://dx.doi.org/10.3390/electronics11030424.

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The density and cost-effectiveness of flash memory chips continue to increase, driven by: (a) The continuous physical scaling of memory cells in a single layer; (b) The vertical stacking of multiple layers; and (c) Logical scaling through storing multiple bits of information in a single memory cell. The physical properties of flash memories impose disproportionate latency and energy expenditures to ensure the high integrity of the data during flash memory writes. This paper experimentally explores this disproportionality on state-of-the-art commercial 3D NAND flash memories and introduces EXPR

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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 (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

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Ghedini, Giulia, Martino E. Malerba, and Dustin J. Marshall. "How to estimate community energy flux? A comparison of approaches reveals that size-abundance trade-offs alter the scaling of community energy flux." Proceedings of the Royal Society B: Biological Sciences 287, no. 1933 (2020): 20200995. http://dx.doi.org/10.1098/rspb.2020.0995.

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Size and metabolism are highly correlated, so that community energy flux might be predicted from size distributions alone. However, the accuracy of predictions based on interspecific energy–size relationships relative to approaches not based on size distributions is unknown. We compare six approaches to predict energy flux in phytoplankton communities across succession: assuming a constant energy use among species (per cell or unit biomass), using energy–size interspecific scaling relationships and species-specific rates (both with or without accounting for density effects). Except for the per

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Lastovetsky, Alexey, and Ravi Reddy Manumachu. "Energy-Efficient Parallel Computing: Challenges to Scaling." Information 14, no. 4 (2023): 248. http://dx.doi.org/10.3390/info14040248.

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The energy consumption of Information and Communications Technology (ICT) presents a new grand technological challenge. The two main approaches to tackle the challenge include the development of energy-efficient hardware and software. The development of energy-efficient software employing application-level energy optimization techniques has become an important category owing to the paradigm shift in the composition of digital platforms from single-core processors to heterogeneous platforms integrating multicore CPUs and graphics processing units (GPUs). In this work, we present an overview of

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Zhang, Junzhu, Yating Hou, and Liming Wang. "Scaling-basis chirplet extracting transform and its application in bearing fault diagnosis." PLOS ONE 20, no. 4 (2025): e0319497. https://doi.org/10.1371/journal.pone.0319497.

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In this paper, we propose a new time-frequency analysis (TFA) method, namely scaling-basis chirplet extracting transform (SBCET). Based on the time-frequency representation (TFR) results obtained by scaling-basis chirplet transform (SBCT), the method introduces a new “extraction operator” to extract the time-frequency (TF) energy associated with the signal to portray the TF energy distribution information of the signal with high accuracy. SBCET can also obtain a TFR with concentrated energy and high resolution for non-stationary signals with close frequency intervals and intense background noi

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Blažek, Mikuláš. "Multifractality in High Energy Collisions." Fractals 05, no. 02 (1997): 309–20. http://dx.doi.org/10.1142/s0218348x97000292.

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With increasing energy of nuclear collisions, several statistical distributions of produced particles show changes in shape. This also concerns the scaling indices which characterize multifractality in the observed particle density distributions. In the present contribution, the self-similar processes governing that multifractality are described in more detail. It is shown especially that the corresponding extended fundamental equation reproduces, with very good accuracy, the data resulting from the oxygen beam at 60 and 200 A GeV colliding with the emulsion nuclei. The approximate description

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Cozzolino, Ersilia, Gabriela Del Risco, Natalia von Windheim, Cameron Gygi, Antonello Astarita, and Nathan Ames. "Scaling up the 3D printing of surgical guides: repeatability and energy efficiency." Rapid Prototyping Journal 31, no. 11 (2025): 148–59. https://doi.org/10.1108/rpj-05-2024-0226.

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Purpose This paper aims to investigate the repeatability of the Stereolithography (SLA) process and to provide reliable guidelines to minimize energy consumption without sacrificing part quality. To tackle these aims, an extensive experimental campaign has been conceived: two different machines (of the same model) have been operated in different production environment, specimens and parts with different orientations have been manufactured. Design/methodology/approach A two-step experimental campaign has been carried out. In the first stage, surgical guides were printed with different positions

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Gebauer, Ralph, Morrel H. Cohen, and Roberto Car. "A well-scaling natural orbital theory." Proceedings of the National Academy of Sciences 113, no. 46 (2016): 12913–18. http://dx.doi.org/10.1073/pnas.1615729113.

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We introduce an energy functional for ground-state electronic structure calculations. Its variables are the natural spin-orbitals of singlet many-body wave functions and their joint occupation probabilities deriving from controlled approximations to the two-particle density matrix that yield algebraic scaling in general, and Hartree–Fock scaling in its seniority-zero version. Results from the latter version for small molecular systems are compared with those of highly accurate quantum-chemical computations. The energies lie above full configuration interaction calculations, close to doubly occ

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DOLGOPOLOV, M. V., M. V. ELISOV, S. A. RADZHAPOV, V. I. CHEPURNOV, and A. S. CHIPURA. "EFFICIENCY OF ACTIVATED NANO-HETEROJUNCTIONS ON SILICON AND SILICON CARBIDE SUBSTRATES." Computational nanotechnology 10, no. 4 (2023): 91–102. http://dx.doi.org/10.33693/2313-223x-2023-10-4-91-102.

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The concept, model, and examples of activated nanoscale heterojunctions on special silicon carbide and silicon substrates to ensure maximum power with combined geometric and quantitative scaling of semiconductor energy converter chips are considered. The issue of maximum efficiency of energy conversion and efficiency of separation of electron-hole pairs is investigated. A variant of optimizing the scaling solution is implemented by heterojunctions with variations in the sequences of layers with an increase in the concentration and direction of movement of nonequilibrium carriers for further in

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Mikhalev, A., M. Nottoli, and B. Stamm. "Linearly scaling computation of ddPCM solvation energy and forces using the fast multipole method." Journal of Chemical Physics 157, no. 11 (2022): 114103. http://dx.doi.org/10.1063/5.0104536.

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This paper proposes the first linear scaling implementation for the domain decomposition approach of the polarizable continuum model (ddPCM) for the computation of the solvation energy and forces. The ddPCM-equation consists of a (non-local) integral equation on the van der Waals or solvent accessible surface of the solute’s cavity resulting in a dense solution matrix, and, in turn, one matrix–vector multiplication has a quadratic arithmetic complexity with respect to the number of atoms of the solute molecule. The use of spherical harmonics as basis functions makes it natural to employ the fa

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Dissertations / Theses on the topic "Energy-Accuracy Scaling"

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RIZZO, ROBERTO GIORGIO. "Energy-Accuracy Scaling in Digital ICs: Static and Adaptive Design Methods and Tools." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2743228.

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Kim, Se Hun. "Accuracy-energy tradeoffs in digital image processing using embedded computing platforms." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42881.

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As more and more multimedia applications are integrated in mobile devices, a significant amount of energy is devoted to digital signal processing (DSP). Thus, reducing energy consumption for DSP systems has become an important design goal for battery operated mobile devices. Since supply voltage scaling is one of the most effective methods to reduce power/energy consumption, this study examines aggressive voltage scaling to achieve significant energy savings by allowing some output quality degradation for error tolerant image processing system. The objective of proposed research is to explore

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Book chapters on the topic "Energy-Accuracy Scaling"

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Srinivasan, Kannan, Rahul Jadon, Rajababu Budda, Venkata Surya Teja Gollapalli, Guman Singh Chauhan, and Joseph Bamidele Awotunde. "AI-Driven Clinical Decision Support Enhancing Disease Diagnosis With Virtual Health Twin, Probabilistic Engine, Contextual Embedding." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1200-2.ch006.

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Background information: Probabilistic diagnosis engines, contextual medical embedding, and virtual health twins are few illustrations of how AI developments become the rout towards precision diagnostic accuracy in real time. These developments address accuracy, semantic understanding, and stable decision-making in intricate medical contexts. Methods: For scaling up and accommodation purposes, the framework introduced SDCM for mapping symptoms to diagnoses, CME for semantic interpretation, PMDE for probabilistic reasoning and VHT for customized patient profiles. Objectives: Develop an AI-based

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Sankar, R., J. Joylin Mary, S. Sivarajan, and V. Balaji. "MACHINE LEARNING CLASSIFIER FOR INTRUSION IDENTIFICATION IN CYBER SECURITY APPLICATIONS." In Futuristic Trends in Artificial Intelligence Volume 3 Book 3. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkai3p2ch9.

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Machine learning (ML) methodologies have been applied in many scientific areas due to their special traits, including adaptability, scalability, and the capacity to swiftly adapt to new and unexpected boundaries. Cyber security is a fast growing industry that needs a lot of attention because of the great improvements in social networks, and web technologies, online banking, mobile environments, etc. The many ML applications in cyber security are covered and highlighted in this article. This study examines a number of security-related topics, including network intrusion detection, evaluating th

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Conference papers on the topic "Energy-Accuracy Scaling"

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Viedt, Isabell, Michel Gro�e (n� Mock), and Leon Urbas. "Development of a hybrid, semi-parametric Simulation Model of an AEM Electrolysis Stack Unit for large-scale System Simulations." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.129325.

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A key technology for integrating fluctuating renewable energy into the process industry is the production of green hydrogen through water electrolysis plants. Scaling up electrolysis plant capacity remains a significant challenge for the renewable energy transition. System simulation of large-scale electrolysis plants can support process design, monitoring, optimization, and maintenance scheduling. Hybrid modeling methods are promising for improving simulation reliability by combining process knowledge with process data, addressing gaps in understanding of the underlying processes. These hybri

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Moons, Bert, Roel Uytterhoeven, Wim Dehaene, and Marian Verhelst. "DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling." In 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2017. http://dx.doi.org/10.23919/date.2017.7927038.

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Peluso, Valentino, and Andrea Calimera. "Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351494.

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Moons, Bert, and Marian Verhelst. "DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing." In 2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). IEEE, 2015. http://dx.doi.org/10.1109/islped.2015.7273520.

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Wimmer, Thomas, and York Mick. "Experimental Evaluation of Phi-Scaling Validity for Local Temperature Predictions of Turbine Components Under Real Engine Conditions." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-102200.

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Abstract A Siemens Energy Large Gas Turbine was fully instrumented to quantify operation point parameters and to validate turbine components temperature predictions using thermocouples measurements. The engine was operated under real-grid conditions and has also undergone specific testing operation modes over a several months long period. An automated approach was used to detect steady-state operation from the collected data and the average for each sensor signal was calculated for these periods for data reduction. The acquired metal temperature readings have been non-dimensionalized using the

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Yang, Yue, Long Liu, and Bing Yi. "Sparse Scaling Iterative Closest Point for Rail Profile Inspection." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97160.

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Abstract The accuracy of rail profile inspections is critical for guaranteeing transport security and rail maintenance, and hence the laser based rail profile inspection has been frequently used. However, there are two major challenges in practical applications: the distortion of the measured rail profile and the influences of noise and outliers. In this paper, the sparse scaling iterative closest point method is proposed for rail profile inspection. First, the existing challenges for processing the measured rail profile via a line laser sensor are generally described. After this, a robust reg

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Yan, Yikuan, Shanbin Shi, and Mamoru Ishii. "Scaling Analysis and Facility Design for Stability Investigation During Accidents in a PWR-Type SMR." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60476.

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Small modular reactor (SMR) concept has been developed as one of the key solutions for the growing demand of safe and clean energy. SMR designs can be applied extensively in areas such as sea water desalination and small-scale power generation etc. Unlike conventional light water reactors, most SMRs greatly simplify the structure of reactor pressure vessel, usually eliminate pumps and use natural circulation to cool down the core and transfer energy. However, flow instability may easily occur and affect the entire two phase natural circulation, which is of great importance for the start-up and

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Saujauddin, Noor Jehan, Tim Niemi, Ted Lundquist, and Baohua Niu. "Electrical Probing of 7nm SRAMS/SOC at Contact Layer." In ISTFA 2020. ASM International, 2020. http://dx.doi.org/10.31399/asm.cp.istfa2020p0214.

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Abstract For advanced node semiconductor process development, manufacturing, fault isolation and product failure analysis, nanoprobing is an indispensable technology. As the process technology node scales, transistors and materials used are more susceptible to electron beam damage and changes. As scanning electron microscope (SEM) energy decreases to minimize electron beam damage, imaging resolution degrades. Process scaling has not only affected patterning dimensions and pitch scaling, but also materials utilized in advanced nodes. The material used at the contact level has changed from tungs

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Haider, Syed, Wardana Saputra, and Tadeusz W. Patzek. "A Novel Shale Well Production Forecast Model Achieves >95% Accuracy Using Only 1.5 Years of Production Data." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215091-ms.

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Abstract Objective Reliable production forecasting for shale wells is crucial for investment decisions, optimized drilling rate, energy security policies, and informed green transition scenarios. The industry has struggled with inaccurate production estimates from decline curve analysis (DCA) and from a long production history requirement for data-driven models. We have developed a state-of-the-art, physics-guided, data-driven model for accurate production forecast of unconventional wells for up to 10 years into the future. With an error of less than 5%, our hybrid model requires only 1.5 year

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Hunter, Brian, and Zhixiong Guo. "A New Phase Function Normalization Approach for Radiative Transfer Analysis in Highly Anisotropic Scattering Media." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63664.

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A new phase function normalization approach is applied to both the DOM and FVM for predicting radiative heat transfer in an extreme condition — highly anisotropic scattering media. Previous attempts to normalize the DOM result in a distortion of the overall phase function asymmetry factor. The splitting of each solid angle into numerous sub-angles in the FVM is shown to also produce a lack of conservation of asymmetry factor, even though scattered energy is conserved. The current normalization technique is crafted such that scattered energy and asymmetry factor are accurately conserved after b

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