Harbin Engineering University

About: Harbin Engineering University is a education organization based out in Harbin, Heilongjiang, China. It is known for research contribution in the topics: Control theory & Computer science. The organization has 31149 authors who have published 27940 publications receiving 276787 citations. The organization is also known as: HEU.

Allocating Classes for Soft-Then-Hard Subpixel Mapping Algorithms in Units of Class

Abstract: There is a type of algorithm for subpixel mapping (SPM), namely, the soft-then-hard SPM (STHSPM) algorithm that first estimates soft attribute values for land cover classes at the subpixel scale level and then allocates classes (i.e., hard attribute values) for subpixels according to the soft attribute values. This paper presents a novel class allocation approach for STHSPM algorithms, which allocates classes in units of class (UOC). First, a visiting order for all classes is predetermined, and the number of subpixels belonging to each class is calculated using coarse fraction data. Then, according to the visiting order, the subpixels belonging to the being visited class are determined by comparing the soft attribute values of this class, and the remaining subpixels are used for the allocation of the next class. The process is terminated when each subpixel is allocated to a class. UOC was tested on three remote sensing images with five STHSPM algorithms: back-propagation neural network, Hopfield neural network, subpixel/pixel spatial attraction model, kriging, and indicator cokriging. UOC was also compared with three existing allocation methods, i.e., linear optimization technique (LOT), sequential assignment in units of subpixel (UOS), and a method that assigns subpixels with highest soft attribute values first (HAVF). Results show that for all STHSPM algorithms, UOC is able to produce higher SPM accuracy than UOS and HAVF; compared with LOT, UOC is able to achieve at least comparable accuracy but needs much less computing time. Hence, UOC provides an effective and real-time class allocation method for STHSPM algorithms.

Underwater Swimming Micro Robot Using IPMC Actuator

Abstract: In the medical field and industry application, fish-like microrobot and micro biped robot with multi DOF that can swim smoothly in water or aqueous medium has urgently been demanded. And IPMC (ionic polymer metal composite) can generate large bending motions under a low driving voltage (about 1 V), and it has a good response and soft characteristic. Therefore, we have developed a fish-like S-shape swimming robot, propulsion using IPMC actuator as a body and a tail fin for a micro robot swimming structure. The experimental results indicate that the swimming speed of underwater fish-like microrobot can be controlled by changing the frequency of input voltage. In addition, we put forward a study project, which a wireless biped robot with four legs, which is driven by the IPMC actuator and DSP (Digital Signal Processor).