Showing 61 - 80 results of 14,865 for search 'Operational data analysis', query time: 0.09s Refine Results
  1. 61

    Data center energy efficiency case and energy saving operation by Jieliang LOU

    Published 2019-02-01
    “…PUE value is the key indicator of energy efficiency in data center.Through the comparative analysis of refrigeration efficiency,cooling efficiency,energy conversion efficiency and energy transmission efficiency,the reasons for difference in PUE between two data center cases were found.Three measures on the strategy of energy-saving operation of data center were put forward,as to control the number of refrigerators,to reduce the temperature of cooling water and to raise the temperature of chilled water.Some inspirations on energy saving in the construction and operation of the data center were raised.…”
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  2. 62

    Data-driven Static Equivalence with Physics-informed Koopman Operators by Wei Lin, Changhong Zhao, Maosheng Gao, C. Y. Chung

    Published 2024-01-01
    “…To tackle this challenge, this letter proposes a novel data-driven method to improve equivalency accuracy of DNs with distributed energy resources. …”
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  3. 63
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    Earth Observation Data to Support Environmental Justice: Linking Non‐Permitted Poultry Operations to Social Vulnerability Indices by Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White‐Williamson, Shea Tuberty

    Published 2024-12-01
    “…We removed 51.8% of misclassified features in NC and 61.5% across the US, significantly improving data set accuracy. Spatial analysis, including Local Indicators of Spatial Association, revealed that poultry CAFOs often cluster in census tracts with high Social Vulnerability Index (SVI) scores, indicating potential EJ issues. …”
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  5. 65

    Integration of Blockchain and Artificial Intelligence in Healthcare: Enhancing Data Security and Operational Efficiency by Ma Tengyan

    Published 2025-01-01
    “…This paper conducted a literature review and case analysis to examine how blockchain ensures data immutability with decentralized storage mechanisms and how AI utilizes this data through deep learning and real-time analysis for its decision-making system. …”
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    Reliability Assessment via Combining Data from Similar Systems by Jianping Hao, Mochao Pei

    Published 2025-05-01
    “…In operational testing contexts, testers face dual challenges of constrained timeframes and limited resources, both of which impede the generation of reliability test data. …”
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  9. 69
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    OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS by A. I. Larkin, K. A. Trukhanov

    Published 2018-04-01
    “…Inverse two-phase coding and operational analysis of multi-parameter data can realize a number of probabilistic algorithms. …”
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    Design of vehicle data engine system based on big data platform and intelligent perception by CHEN Xijun

    Published 2023-11-01
    Subjects: “…operation and maintenance data…”
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  14. 74

    Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations by ANGPan Y, UIXiao-lin G, AOJing Y, INJian-cai L, IANFeng T, HANGXue-jun Z

    Published 2015-01-01
    “…An efficient homomorphic encryption scheme called CESIL was proposed to meet the requirements of operating on encrypted data when protecting users' privacy in computing services.CESIL included key generation algorithm,encryption algorithm,decryption algorithm and calculation algorithm.In CESIL,a polynomial coefficient vector ring was established by defining addition and multiplication using polynomial ring; by using ideal lattice,the vector ring was partitioned into many residue classes to produce a quotient ring and its representative set; the plaintext was encrypted by mapping it to a representative and replacing the representative with another element in the same residue class.The features of operations in quotient ring ensured CESIL operate on encrypted data.Furthermore,the fast Fourier transform (FFT) algorithm was used to increase the efficiency and decrease the length of key.Theoretical analysis and experimental results show that CESIL is semantically secure,and can do addition and multiplication operations on encrypted data homomorphically in a specific scope.Comparing to some existing homomorphic encryption schemes,the CESIL runs efficiently,and has shorter length in key and ciphertext.Thus,the CESIL fits the practical applications better.…”
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  15. 75

    Estimation of the average time to failure of the turning steps according to the operation data by M. V. Belousova, V. V. Bulatov

    Published 2019-05-01
    “…For confirmation, a statistical criterion for checking the deviation of the distribution from the normal one was applied.On the basis of carried statistic analysis a histogram of frequencies and a line of the density function of samples of failure time in the data fixation period from 2010 to 2017 were built. …”
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  16. 76

    Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

    Published 2025-03-01
    “…The model is enhanced by incorporating both numerical simulation data and real-world measurement data from the launching operation. …”
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  17. 77

    Optimizing taxi operations in Shanghai for reduced idle time and greener transportation: a spatiotemporal analysis using trajectory data and complex networks by Zhanxin Ma, Zhangyi Ye, Xinyue Sun, Bin Pan, Haobo Ni, Yixiu Kong

    Published 2025-01-01
    “…Using GNSS trajectory data from 7767 Shanghai taxis, we construct a city-wide taxi network and apply k -core decomposition to identify optimal operational strategies. …”
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    Dataset of operational energy of forty Andean buildings from 1980 to 2020(Mendeley Data). by Jefferson Torres-Quezada, Atila Avila-Argudo

    Published 2025-08-01
    “…The study follows three main stages: (1) Analysis of operational energy consumption, showcasing the evolution of energy use across four decades; (2) Simulation and validation, where energy simulations and calculations are performed for each sample, followed by a validation process using in-situ measurements compared with simulated results; and (3) Data curation, where climate data is compiled and updated for further analysis. …”
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