The topological sensitivity analysis consists in studying the behavior of a given shape functional when the topology of the domain is perturbed, typically by the nucleation of a small hole. This notion forms the basic ingredient of different topology optimization / reconstruction algorithms. From the theoretical viewpoint, the expression of the topological sensitivity is wellestablished in many...

The sensitivity of LISA depends on the suppression of several noise sources; dominant one is laser frequency noise. It has been shown that the six Doppler data streams obtained from three space-crafts can be appropriately time delayed and optimally combined to cancel this laser frequency noise. We show that the optimal data combinations when operated in a network mode improves the sensitivity o...

The sensitivity of global climate with respect to forcing is generally described in terms of the global climate feedback—the global radiative response per degree of global annualmean surface temperature change.While the global climate feedback is often assumed to be constant, its value—diagnosed from global climate models—shows substantial time variation under transient warming. Here a reformul...

We study the reaction time (RT) to the appearance of a stimulus composed of a sinusoidal grating of spatial frequency. Five subjects participated in the experiment: 3 young emmetropic subjects, an older presbyopic subject (with optic corrections) and an albino subject (M). The data show that the RT varies according to the product of contrast (C) by the period (P) of the gratings. The CxP is the...

Verification of real-time software systems can be expensive in terms of time and resources. Testing is the main method of proving correctness but has been shown to be a long and time consuming process. Everyday engineers are usually unwilling to adopt formal approaches to correctness because of the overhead associated with developing their knowledge of such techniques. Performance modelling tec...

Outliers are ubiquitous in modern data sets. Distance-based techniques are a popular nonparametric approach to outlier detection as they require no prior assumptions on the data generating distribution and are simple to implement. Scaling these techniques to massive data sets without sacrificing accuracy is a challenging task. We propose a novel algorithm based on the intuition that outliers ha...

The leading objective of this project is to rigorously study the asymptotic behavior of wave-theoretic travel-time sensitivity kernels with increasing range, as a means to explain their observed convergence towards the corresponding ray-theoretic sensitivity kernels even at low frequencies. Further objectives include the derivation and study of 2D and 3D first-order amplitude sensitivity kernel...

High sensitivity, ring4ype measurement devices based on acoustooptic and fiberoptic delay lines are described. Applications of these devices for linear and angular displacements with resolution of O.1&m and lj.trad are shown. Methods offurther improvement ofthe devices' characteristics are discussed.

wepp model needs a great deal of input data.  identifying the model’s sensitive parameters and their prioritization increases the accuracy and efficiency of the model. on the other hand, wepp model can simulate processes affecting on runoff, erosion and sediment throughout the year. thus, model sensitivity must vary based on the storm occurrence time and parameters value in different sections o...

background and objective: rapid diagnosis of pertussis is important for the timely isolation of the infection source and early prevention measures among the contact persons, especially among non-vaccinated infants for whom pertussis is life- threatening. materials and methods: targets is481 , is1001, bp0026 and human gapdh gene were used to develop a multiplex real- time pcr assay based on the ...