This work aims at establishing laboratory requirements and testing conditions in order to understand the physical and emotional stability of people during a ground shaking. Several individuals with different human cha...
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Injecting auxiliary random noise is an effective approach to implementing the online secondary-path modeling (SPM) subsystem in active noise control (ANC). In this paper, a typical FIR-based narrowband ANC (NANC) syst...
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This paper focuses on the possibility of using a recently fabricated micro gripper for the on line estimation of the mechanical characteristics (damping and elasticity) of a sample pinched by the jaws, with particular...
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This paper introduces a novel maximum likelihood approach to determine the local thermal transport coefficients belonging to diffusion and convection from excitation (perturbative) transport experiments. It extends pr...
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ISBN:
(数字)9781728113982
ISBN:
(纸本)9781728113999
This paper introduces a novel maximum likelihood approach to determine the local thermal transport coefficients belonging to diffusion and convection from excitation (perturbative) transport experiments. It extends previous work developed for linear (slab) geometry to cylindrical (toroidal) geometry for fusion reactors. The previous linear geometry approach is based on analytic solutions of the partial differential equation. However, for cylindrical geometries with convection the analytic solutions are confluent hypergeometric functions (CHFs) with complex valued arguments. Most numerical libraries do not support CHFs evaluation with complex valued arguments. Hence, this paper proposes the use of an ultra-fast transfer function evaluation based on sparse numerical solutions for the discretized partial differential equation. This solution is implemented in MATLAB and incorporated in the frequency domain Maximum Likelihood Estimation framework. Consequently, transport coefficients can be estimated consistently when measurements are perturbed by coloured and spatially correlated noise.
Software-based self-test (SBST) is being widely used in both manufacturing and in-the-field testing of processor-based devices and Systems-on-Chips. Unfortunately, the stuck-at fault model is increasingly inadequate t...
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Software-based self-test (SBST) is being widely used in both manufacturing and in-the-field testing of processor-based devices and Systems-on-Chips. Unfortunately, the stuck-at fault model is increasingly inadequate to match the new and different types of defects in the most recent semiconductor technologies, while the explicit and separate targeting of every fault model in SBST is cumbersome due to the high complexity of the test-generation process, the lack of automation tools, and the high CPU-intensity of the fault-simulation process. Moreover, defects in advanced semiconductor technologies are not always covered by the most commonly used fault-models, and the probability of defect-escapes increases even more. To overcome these shortcomings we propose the first fault-independent SBST method. The proposed method is almost fully automated, it offers high coverage of non-modeled faults by means of a novel SBST-oriented probabilistic metric, and it is very fast as it omits the time-consuming test-generation/fault-simulation processes. Extensive experiments on the OpenRISC OR1200 processor show the advantages of the proposed method.
The twin-field (TF) quantum key distribution (QKD) protocol and its variants are highly attractive because they can beat the well-known rate-loss limit (i.e., the PLOB bound) for QKD protocols without quantum repeater...
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This article has been removed: please see Elsevier Policy on Article Withdrawal (https://***/about/our-business/policies/article-withdrawal). This article has been removed at the request of the Authors and Editor-in-C...
This article has been removed: please see Elsevier Policy on Article Withdrawal (https://***/about/our-business/policies/article-withdrawal). This article has been removed at the request of the Authors and Editor-in-Chief because complete consent was not obtained by the authors in accordance with journal policy prior to publication. The authors and the journal sincerely apologize for this oversight.
In the last decade, the world of online education has seen the advent of Massive Open Online Courses. The secret behind those courses lies in the scale: potentially, millions of people can access them and take advanta...
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ISBN:
(纸本)9781538665343
In the last decade, the world of online education has seen the advent of Massive Open Online Courses. The secret behind those courses lies in the scale: potentially, millions of people can access them and take advantage of the educational resources wherever they are on the planet. Creating successful courses is challenging since it requires an extended portfolio of skills. However, not all the necessary attentions have been provided to the content creators who, most of the times, do not have an extended knowledge of the complex technologies required in order to efficiently prepare a MOOC. This paper focuses on this issue introducing a set of integrated e-learning tools offering an enhanced MOOC creation experience. The preliminary users already prepared some courses exploiting this novel approach and are willing to collaborate to craft the next improved version of the platform.
Due to their reduced maintenance costs, increased power efficiency and reduced power consumption, the Magnetic Levitation (Maglev) system make a significant contribution to the industrial application. Maglev's pro...
Due to their reduced maintenance costs, increased power efficiency and reduced power consumption, the Magnetic Levitation (Maglev) system make a significant contribution to the industrial application. Maglev's production of electricity (e.g. wind turbines), maglev trains and medical devices (e.g. artificial heart pump magnetically suspended) are typical applications. This paper suggests designing a nonlinear control for the Maglev system model which represented by a third-order model consists of the mechanical (ball position and velocity) and electrical (the current) subsystems. The controller is designed utilizing the Integral Sliding Mode control (ISMC) and based on the Backstepping approach. The tracking accuracy of the ball position to the desired reference is determined by computing the ultimate boundedness as a function to the controller parameters and that using the Lyapunov function. The numerical simulation results showed the robustness and the efficiency of the proposed controller where the tracking error limited by the computed bound.
Systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One...
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