Image Search Engine by Deep Neural Networks

We typically search for images by keywords, e.g., when looking for images of apples, we would enter the word “apple” as query. However, there are limitations. For example, if users input keywords in a specific language, then they may miss results labeled in other languages. Moreover, users may have an image of the object they want to obtain more...

Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles

This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance. The proposed control algorithm combines a conventional control method with reinforcement learning to enhance control accuracy and intelligence. In the proposed...

Community living circle along station influencing realm: Exploring the relationship between the community living circle and rail station influencing realm in a mountainous urban context

China is facing the dual challenges of urbanization and motorization（Jing, 2008）. The poorly organized urban centers and traditional residential planning are unable to meet the increasingly diverse demand of people. To solve these problems, the TOD model and the emerging community living circle are being favored by policy makers. Promoting urban...

Policies Towards Migrants in the Yangtze River Delta Urban Region, China: Does Local Hukou Still Matter after the Hukou Reform?

The 2014 hukou reform introduced by the Chinese central government was a turning point in China’s policies towards migration. Different from the previous hukou policies, which were largely exclusionary, the reformed policy encouraged migrants to permanently settle in their destination cities and make use of the public services available there....

Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles

This paper presents a novel model-reference reinforcement learning control method for uncertain autonomous surface vehicles. The proposed control combines a conventional model-based control method with deep reinforcement learning. With the conventional model-based control, we can ensure the learning-based control law provides closed-loop...

Development of a data fusion framework for the aerodynamic analysis of launchers

During the launching vehicles design and their optimization process, the implementing of aerodynamic characteristics (AC) database is quite important. Accuracy of such database determines quality of the pre-flight simulation, trajectory and even the whole design direction. However, the database building process is one of the most challenging...

Preferential concentration of particles in compressible turbulence

The behavior of particles in compressible turbulence has been seldom investigated to date despite its importance in many natural and industrial flows. Direct numerical simulations of particle-laden compressible isotropic turbulence are performed to study the preferential concentration of particles and the underling mechanisms. It turns out that...

Microstructure and deterioration mechanisms of Portland cement paste at elevated temperature

Dehydration kinetics of Portland cement paste at high temperature

Portland cement paste is a multiphase compound mainly consisting of calcium-silicate-hydrate (CSH) gel, calcium hydroxide (CH) crystal, and unhydrated cement core. When cement paste is exposed to high temperature, the dehydration of cement paste leads to not only the decline in strength, but also the increased pore pressure in the paste. In this...

Microstructure Analysis of Heated Portland Cement Paste

When a concrete structure is exposed to high temperature, the mechanical damage and chemical transformation take place simultaneously, which will change the microstructure of material. On the other hand, the mechanical properties and transport properties depend on the development of microstructure of cement paste. In order to study the...

Multi-feature fusion for surveillance video indexing

In this paper, we present a part of surveillance centric indexing framework aimed at studying the performance of multi-feature fusion technique for indexing objects from surveillance videos. The multi-feature fusion algorithm determines an optimal metric for fusing low-level descriptors extracted from different feature space. These low-level...

Thermoelectric effects in magnetic nanostructures

We model and evaluate the Peltier and Seebeck effects in magnetic multilayer nanostructures by a finite-element theory of thermoelectric properties. We present analytical expressions for the thermopower and the current-induced temperature changes due to Peltier cooling/heating. The thermopower of a magnetic element is in general spin polarized,...

Thermal Spin-Transfer Torque in Magnetoelectronic Devices