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  1. 2221

    On the Q–S Chaos Synchronization of Fractional-Order Discrete-Time Systems: General Method and Examples by Adel Ouannas, Amina-Aicha Khennaoui, Giuseppe Grassi, Samir Bendoukha

    Published 2018-01-01
    “…In this paper, we propose two control strategies for the Q–S synchronization of fractional-order discrete-time chaotic systems. Assuming that the dimension of the response system m is higher than that of the drive system n, the first control scheme achieves n-dimensional synchronization whereas the second deals with the m-dimensional case. …”
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  2. 2222

    On the Feasibility and Limitations of Just-in-Time Instruction Set Extension for FPGA-Based Reconfigurable Processors by Mariusz Grad, Christian Plessl

    Published 2012-01-01
    “…For the scientific computing benchmarks, the achievable speedup is only 1.2x, which requires significant execution times in the order of days to amortize the overheads.…”
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  3. 2223

    Analysis of different anti-interference system models based on discrete time Markov chain by Quan REN, Lei HE, Jiangxing WU

    Published 2018-04-01
    “…Block chain,dissimilar redundancy and mimic defense technology have developed rapidly in different security fields of cyberspace.However,there is a lack of effective models to describe and analyze these three kinds of innovative technologies currently.The DTMC (discrete time Markov chain) was used to model and analyze the anti-interference of the three kinds of systems.The results show that mimic defense system which adopts dynamic heterogeneous redundancy architecture and negative feedback control mechanism can ensure the high availability of the system.The block chain system uses high redundancy consensus mechanism to have a higher anti-interference performance than mimic defense system and dissimilar redundancy system in a certain time,but its performance will decrease quickly after that.With the increase of redundancy,the anti-interference performance of the dissimilar redundancy system will tend to the high redundancy block chain rapidly.Compared with block chain,the anti-interference performance falling of dissimilar redundancy system will be relatively slower.…”
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    Fractional Differential Equations in Terms of Comparison Results and Lyapunov Stability with Initial Time Difference by Coşkun Yakar

    Published 2010-01-01
    “…We compare the classical notion of stability to the notion of initial time difference stability for fractional-order differential equations in Caputo's sense. …”
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    The Effect of the Rolling Direction, Temperature, and Etching Time on the Photochemical Machining of Monel 400 Microchannels by Deepakkumar H. Patil, Sadaiah Mudigonda

    Published 2016-01-01
    “…For good quality microchannels, the effects of spinning time, spinning speed, exposure time, and photoresist film strength were also taken into consideration. …”
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  8. 2228

    Experimental-Based Optimization of Injection Molding Process Parameters for Short Product Cycle Time by Saad M. S. Mukras

    Published 2020-01-01
    “…This paper presents a framework for optimizing injection molding process parameters for minimum product cycle time subjected to constraints on the product defects. …”
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    Time and frequency domain models for multiaxial fatigue life estimation under random loading by Andrea Carpinteri, Andrea Spagnoli, Camilla Ronchei, Sabrina Vantadori

    Published 2015-06-01
    “…The methods available in the literature for fatigue assessment under random loading are formulated in time domain or, alternatively, in frequency domain. …”
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  11. 2231

    Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition by Qinrui Tang, Bernhard Friedrich

    Published 2018-01-01
    “…The objective of this paper is to propose a method for minimizing the total travel time by prohibiting left turns at intersections. …”
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    A Simplified Network Model for Travel Time Reliability Analysis in a Road Network by Kenetsu Uchida, Teppei Kato

    Published 2017-01-01
    “…The path travel time variance is calculated by considering all travel time covariance between two adjacent links in the network. …”
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    Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics by Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter

    Published 2025-01-01
    “…This study investigates the application of machine learning (ML) techniques for real-time prediction of knee joint mechanics.MethodsA validated finite element (FE) model of the lower limb was used to generate a dataset of knee joint kinematics, kinetics, and contact mechanics. …”
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