The model order reduction methodology of reduced basis (RB) techniques offers efficient treatment of parametrized partial differential equations (PDEs) by providing both approximate solution procedures and efficient error estimates. RB-methods have so far mainly been applied to finite element schemes for elliptic and parabolic problems. In the current study we extend the methodology to general ...

Shortest paths and shortest path distances are important primary queries for users to query in a large graph. In this paper, we propose a new approach to answer shortest path and shortest path distance queries efficiently with an error bound. The error bound is controlled by a user-specified parameter, and the online query efficiency is achieved with prepossessing offline. In the offline prepro...

The Reduced Basis Method (RBM) is a popular certified model reduction approach for solving parametrized partial differential equations. One critical stage of the offline portion of the algorithm is a greedy algorithm, requiring maximization of an error estimate over parameter space. In practice this maximization is usually performed by replacing the parameter domain continuum with a discrete ”t...

일반적으로 2차원 전기비저항 탐사에서는 이론적으로 모든 전극이 직선 측선상에 동일한 간격으로 배치되어 있다고 가정한다. 그러나 조사 지역의 여건상 실제 현장 작업에서는 이러한 가정을 만족하지 못하는 경우가 빈번하며, 잘못된 전극위치는 지하 영상의 왜곡을 초래한다. 탐사에서 전극위치 오류에는 인라인 전극 오차와 오프라인 오차가 있다. 오차보다 더 크지만, 오차도 이상체를 생성하여 해석으로 이어질 수 이 연구에서는 전극위치를 고려한 수치 모델링을 통해 오차의 영향을 분석하였다. 또한, 근본적인 문제 해결을 위하여 사용하는 새로운 역산 알고리즘을 제안하고, 수치실험 및 적용을 제안된 알고리즘의 타당성을 검증하였다.

in this paper, a new robust controller based on geometric homogeneity and adaptive integral sliding mode is proposed for a class of second order systems. the upper bound of the system disturbances is not required. fully unknown parameters have been considered in the described model and its finite–time convergence to zero equilibrium point is proved. moreover, the controller is developed in the ...

In this paper we consider the topic of model reduction for nonlinear dynamical systems based on kernel expansions. Our approach allows for a full offline/online decomposition and efficient online computation of the reduced model. In particular we derive an a-posteriori state-space error estimator for the reduction error. A key ingredient is a local Lipschitz constant estimation that enables rig...

Searching for the performance bottleneck in an execution trace is an error prone and time consuming activity. Existing tools offer some comfort by providing a visual representation of trace for analysis. In this paper we present the Stethoscope, an interactive visual tool to inspect and analyze columnar database query performance, both online and offline. It’s unique interactive animated interf...

In this paper, we present a data-driven approach for detecting instances of miscommunication in dialogue system interactions. A range of generic features that are both automatically extractable and manually annotated were used to train two models for online detection and one for offline analysis. Online detection could be used to raise the error awareness of the system, whereas offline detectio...