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Ma R.,Institute of Digital Information
Journal of Computational Information Systems | Year: 2011

We proposes a novel Biomechanics-based Responsive Rebalance Animation (B2RA) technique for obtaining realistic rebalance animations by combining motion capture (mocap) and dynamic simulation. The B2RA is based on a simplified biomechanical model for human rebalance simulation. To generate character animation in real-time, a support vector machine (SVM), which is trained on a set of samples, is employed to predict a subset of our return-to mocap database. Then, the principal component analysis (PCA) is used to reduce the dimensions of the subset to efficiently search for the most qualified return-to segment. We first present an effective balance detection method, which is used to select the most suitable rebalance strategy for the character by the law of biomechanics. Finally, empirical results from three cases validate the approach. Copyright © 2011 Binary Information Press.

Ma R.F.,Institute of Digital Information
Advanced Materials Research | Year: 2011

We propose a novel Biomechanics-based Responsive Balance Recovery (BRBR) technique for synthesizing realistic balance recovery animations. First, our BRBR technique is based on a simplified human biomechanical model of keeping balance, so as to interactively respond to contact forces in the environment. Then, we employ the Principal Component Analysis (PCA) to reduce the dimensions of the mocap (motion capture) database to ensure the search for the most qualified return-to segment in real-time. Finally, empirical results from three cases validate the approach. © 2011 Trans Tech Publications.

Ma R.-F.,Institute of Digital Information | Ma R.-F.,Zhejiang University
Journal of Beijing Institute of Technology (English Edition) | Year: 2011

Texture synthesis has been developed for several years. The traditional technique can generate a larger image from a small image while avoid feeling of repetition or uncontinuity. Some constrained synthesis methods which can synthesize image according to special location demand or other demands have been also proposed in recent years. However, in general, these constrained texture synthesis methods are simple and have few controllable factors to meet user's diverse needs. To control multiple-sample texture synthesis more flexibly in various aspects such as synthesis location, proportion and semantic objects, we present an interactive texture synthesis approach based on circular patches and constrained by objects according to a certain ratio. With this approach, source exemplars and the target image are firstly divided into several regions with different characters. Users can click the blocks in the source exemplars and the want-to-be-synthesized region in the target image, and then texture in the target image is synthesized with the corresponding regions in the source exemplars. In the process of texture synthesis, circular patch instead of square patch is used to eliminate the aliasing phenomena. Images are synthesized from multiple sample images with ratio constraint and experiments on images show that our approach can get effective results of ratio-constrained multi-sample synthesis. © Copyright.

Ma R.,Institute of Digital Information
Key Engineering Materials | Year: 2011

The most suitable color space must be chosen to determine the right color for the ripeness identification. HSV is proved to be a better choice because it has all the colors in the channel. Besides, it helps to choose colors which are similar to the eyes. This paper explores the use of Nearest Neighbor Distance for histogram-based fruit ripeness identification. HSV color space is chosen to explore its potential of colors. Color is the main indicator for fruit ripeness identification. It is hard to measure especially when ones can interpret the colors differently by just looking into them visually. The most promising result came from Value which provides the highest value towards ripe or unripe category. © (2011) Trans Tech Publications.

Ma R.-F.,Institute of digital Information
International Journal of Digital Content Technology and its Applications | Year: 2011

This paper proposes an adaptive error control mechanism for wireless video streaming, in order that the video data over wireless could be played on receiving sides with high quality. This model, based on GM (1, 1) model and cross-layer design, which adaptively select different error control techniques for every packet at the data link layer, to adjust to the current network condition and meet the different requirements of wireless link, is able to improve the performance of wireless video data transmission. The NS simulation and experiments of video data transmission over wireless network are carried out to validate, and characterize the performance of the proposed approach.

In this paper, ammonia quantitative analysis based on miniaturized Al ionization gas sensor and non-linear bistable dynamic model was proposed. Al plate anodic gas-ionization sensor was used to obtain the current-voltage (I-V) data. Measurement data was processed by non-linear bistable dynamics model. Results showed that the proposed method quantitatively determined ammonia concentrations. © 2015 Taylor & Francis Group, LLC.

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