174,284 research outputs found
Ant Tribe
Ant Tribe describes the post-80s generation university graduates who live together in poor conditions without Social security in communities around China\u27s major metropolises. They dream of a better life in big cities but struggle with low-paying jobs. These struggling elites have become the fourth weak Social group, after peasants, migrant workers and unemployed people. The reason why these college graduates are compared to ants is that they are like ants: clever, hardworking, politically weak and living in groups.
The real world is always different from the ideal world of the Ant Tribe in China. They often lose their purposes in a complex society. It is more important for them to recognize the distance between the real and imaginary in order to rethink whether it is a right choice to stay in a big city and try to realize their dreams. The intention of the Ant Tribe installation is to explore the process and concept of changing between the real and fantasy. In the installation, I hope to portray the Ant Tribe phenomenon widely and deeply from an artist\u27s perspective. The most important thing for me is using my artistic practice to investigate the power of the media over the contemporary subject in order to activate the viewers to question some Social issues regarding humanity consciousness. My artwork should be thought - provoking for them. I would like to use my visual language to convey specific Social issues to inquire how far the viewers are from their dreams. I hope they think about themselves in their complex society physically and psychologically when they go through my work
Stability Analysis of Integral Delay Systems with Multiple Delays
This note is concerned with stability analysis of integral delay systems with
multiple delays. To study this problem, the well-known Jensen inequality is
generalized to the case of multiple terms by introducing an individual slack
weighting matrix for each term, which can be optimized to reduce the
conservatism. With the help of the multiple Jensen inequalities and by
developing a novel linearizing technique, two novel Lyapunov functional based
approaches are established to obtain sufficient stability conditions expressed
by linear matrix inequalities (LMIs). It is shown that these new conditions are
always less conservative than the existing ones. Moreover, by the positive
operator theory, a single LMI based condition and a spectral radius based
condition are obtained based on an existing sufficient stability condition
expressed by coupled LMIs. A numerical example illustrates the effectiveness of
the proposed approaches.Comment: 14 page
Energy Efficiency and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Data
By using the onboard sensing and external connectivity technology, connected
and automated vehicles (CAV) could lead to improved energy efficiency, better
routing, and lower traffic congestion. With the rapid development of the
technology and adaptation of CAV, it is more critical to develop the universal
evaluation method and the testing standard which could evaluate the impacts on
energy consumption and environmental pollution of CAV fairly, especially under
the various traffic conditions. In this paper, we proposed a new method and
framework to evaluate the energy efficiency and emission of the vehicle based
on the unsupervised learning methods. Both the real-world driving data of the
evaluated vehicle and the large naturalistic driving dataset are used to
perform the driving primitive analysis and coupling. Then the linear weighted
estimation method could be used to calculate the testing result of the
evaluated vehicle. The results show that this method can successfully identify
the typical driving primitives. The couples of the driving primitives from the
evaluated vehicle and the typical driving primitives from the large real-world
driving dataset coincide with each other very well. This new method could
enhance the standard development of the energy efficiency and emission testing
of CAV and other off-cycle credits
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