Sensitivity Analysis of Multiobjective Optimization Problems with Parameterized Quasi-Variational Inequalities

This paper mainly establishes the sensitivity analysis of a multiobjective optimization problem with parameterized quasi-variational inequalities (QVIs). Using the (regular) coderivative of the associated epigraphical multifunction, the (regular) subdifferentials of the efficient frontier maps are estimated, which involve the (regular) coderivatives of the solution mapping to the parameterized QVIs. Under the linear independent constraint qualification, the defined auxiliary set-valued mappings in the parameterized QVIs are clam. The detailed formulae of subdifferentials of the efficient frontier maps are obtained and examples are simultaneously provided for analyzing and illustrating the obtained results.     

软交换网络运行维护的相关问题

以软交换为核心的下一代网络已经从试验逐步走向商用，针对网络现状，结合现有网络运雏体制。对如何有效维护软交换网络以及软交换网络实际运行维护中可能遇到的问题进行了探讨，并提出了实际组网的建议和意见。     

The synthesis of novel tetradentate ligands derived from salen and their application in enantioselective silylcyanation of aldehydes

Two new tetradentate ligands derived from salen have been prepared and their titanium complexes are used as chiral catalysts in the enantioselective silylcyanation of aldehydes, which give the silyl ethers of cyanohydrins in moderate to good enantiomeric excesses.     

Traveling waves of some integral-differential equations arising from neuronal networks with oscillatory kernels

In this paper, we study the existence, uniqueness and profiles of traveling waves to some integral-differential equations arising from nonlinear nonlocal neuronal networks with oscillatory kernels. Our approach is fundamental ideas in differential equation and function analysis.     

基于IMS的业务发展探讨

IMS(IP Multimedia Subsystem)是IP多媒体子系统,最初由3GPP为移动网络定义的,在NGN的框架下,IMS同时支持固定接入和移动接入,目前IMS技术正在走向成熟.……     

All-In-One Hardware Devices with Event-Based Vision Sensor Arrays for Image Sensing,Computing, and Learning

Metal oxide semiconductors (MOSs) are considered as potential candidates for the low-cost, large-area fabrication of flexible optoelectronic devices. However, the current optoelectronic devices based on MOSs are limited to unidirectional photoresponse, which constrains the performance of MOSs-based vision sensors for artificial vision systems. Herein, for the first time, a flexible artificial vision system integrated with optical perception, computation, and learning functionalities is demonstrated using SnO optoelectronic synaptic transistor-based event-driven vision sensors to enable dynamic image perception, noise reduction, detection, and recognition. Specifically, an ambipolar SnO transistor is demonstrated by introducing HfO₂ passivation layer, which facilitates the movement of O atoms around Sn-vacancy sites to the HfO₂ layer to achieve the transformation from p-type to ambipolar transport behaviors. More importantly, the HfO₂-passivated SnO transistors exhibit gate-tunable bidirectional photoresponse behavior, which is essential to simulate the neurobiological functionalities of bipolar cells. This way, the multilayer neural network learning circuit built from SnO transistors achieves fast recognition at a 16% Gaussian noise level and high recognition accuracy up to 95.2% for pattern letters. Under the bending states, recognition accuracies are still retained at 91.2%. These properties are well retained even under the influence of 100% offset of the synaptic programming value.