Currently, the construction industry, which is already both high-innovated and sophisticated, is searching for new solutions in accordance with the incorporation of information technology. The objective is to create a...
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Currently, the construction industry, which is already both high-innovated and sophisticated, is searching for new solutions in accordance with the incorporation of information technology. The objective is to create a high value construction industry through convergence with IT technology. However, there is no business model which is practical, profitable and marketable. Also, valid pre-research for development and study have not been carried out. Therefore, in this paper, we suggest a direction for investigation, applying the scenario planning method which is one of the methods of future study in order to develop a useful business model where construction and IT are integrated.
This paper introduces a new concept called the jump mode reconstructability for 2-D acceptable singular Roesser models. It is shown that there exists a regular state observer for a 2-D acceptable singular Roesser mode...
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This paper presents a method for predicting slip using Gaussian process regression. Slip models are learned for visually classified terrain types as a function of terrain geometry. Spatial correlations between terrain...
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Human-Robot-Cooperation will allow leveraging the capabilities of human and robot better through direct interaction, but requires new methods to ensure the safety of the worker. The article introduces a new methodolog...
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Increasingly, we are faced with systems that are untestable, meaning that traditional testing methods are expensive, time-consuming or infeasible to apply due to factors such as the systems' continuous interaction...
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ISBN:
(纸本)9781450342056
Increasingly, we are faced with systems that are untestable, meaning that traditional testing methods are expensive, time-consuming or infeasible to apply due to factors such as the systems' continuous interactions with the environment and the deep intertwining of software with hardware. In this paper we outline our vision to enable testing of untestable systems. Our key idea is to frame testing on models rather than operational systems. We refer to such testing as model testing. Our goal is to raise the level of abstraction of testing from operational systems to models of their behaviors and properties. The models that underlie model testing are executable representations of the relevant aspects of a system and its environment, alongside the risks of system failures. Such models necessarily have uncertainties due to complex, dynamic environment behaviors and the unknowns about the system. This makes it crucial for model testing to be uncertainty-aware. We propose to synergistically combine metaheuristic search, increasingly used in traditional software testing, with system and risk models to drive the search for faults that entail the most risk. We expect model testing to bring early and cost-effective automation to the testing of many critical systems that defy existing automation techniques, thus significantly improving the dependability of such systems.
Technological advancements in the automotive industry are currently focused on autonomous driving systems or driver assistance systems. Depth estimation is also an important feature of the autonomous driving system as...
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The periodic QZ (pQZ) algorithm is the key solver in many applications, including periodic systems, cyclic matrices and matrix pencils, and solution of skew-Hamiltonian/Hamiltonian eigenvalue problems, which, in turn,...
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ISBN:
(纸本)9789897584428
The periodic QZ (pQZ) algorithm is the key solver in many applications, including periodic systems, cyclic matrices and matrix pencils, and solution of skew-Hamiltonian/Hamiltonian eigenvalue problems, which, in turn, is basic in optimal and robust control, and characterization of dynamical systems. This algorithm operates on a formal product of matrices. For numerical reasons, the standard pQZ algorithm uses an implicit approach during the iterative process. The shifts needed to increase the convergence rate are implicitly defined and applied via an embedding, which essentially allows to reduce the processing to transformations of the data by Givens rotations. But the implicit approach may not converge for some periodic eigenvalue problems. A new, semi-implicit approach is proposed to avoid convergence failures and reduce the number of iterations. This approach uses shifts computed explicitly, but without evaluating the matrix product. The shifts are applied via a suitable embedding. The combination of the implicit and semi-implicit schemes proved beneficial for improving the behavior of the pQZ algorithm. The numerical results for several extensive tests have shown no convergence failures and a reduced number of iterations.
Stress is an increasingly common problem. Thanks to the use of various mathematical methods, it can be described mathematically based on the EEG signal. Generally, the stress in mathematical analysis can be divided in...
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Stress is an increasingly common problem. Thanks to the use of various mathematical methods, it can be described mathematically based on the EEG signal. Generally, the stress in mathematical analysis can be divided into several models. To determine the variability in the stress-related EEG signal, the periodograms used for the overall assessment are checked.
There is method for real time frequency analysis of the electromyogram is described in article. This method is proposed to use in control systems of advanced robotics for medical and healthcare applications. Method co...
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There is method for real time frequency analysis of the electromyogram is described in article. This method is proposed to use in control systems of advanced robotics for medical and healthcare applications. Method consists of realtime frequency estimation with preliminary using of band-pass filter. The method is easy to program and does not require any additional resources. The article gives an example of using this method in classification of movements problem which is actual for robotics and human-machine interfaces.
Hysteresis of a piezoelectric actuator is rate-dependent. Most hysteresis models are based on elementary rate-independent operators and are not suitable for modeling actuator behavior across a wide frequency band. Thi...
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Hysteresis of a piezoelectric actuator is rate-dependent. Most hysteresis models are based on elementary rate-independent operators and are not suitable for modeling actuator behavior across a wide frequency band. This work proposes a rate-dependent modified Prandtl-Ishlinskii (PI) operator to account for the hysteresis of a piezoelectric actuator at varying frequency. We have shown experimentally that the relationship between the slope of the hysteretic loading curve and the rate of control input can be modeled by a linear function. The proposed rate-dependent hysteresis model is implemented for open-loop control of a piezoelectric actuator. In experiments tracking multi-frequency nonstationary motion profiles, it consistently outperforms its rate-independent counterpart by a factor of two in maximum error and a factor of three in rms error.
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