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Sun H.-G.,Key Laboratory of Intelligent Information Processing of Jilin Universities | Sun H.-G.,Southern Polytechnic State University | Yang X.-Q.,Northeast Normal University | Sun T.-L.,Northeast Normal University | Hung C.-C.,Southern Polytechnic State University
ICIC Express Letters | Year: 2015

In this paper, we propose an adaptive haze removal method based on dark channel prior. The dark channel value is compensated for estimating the transmission; the atmospheric light will be re-estimated through the analysis of the characteristics of images. Images are usually degraded with haze due to the object absorption and atmospheric scattering. The experiments show that the images recovered by the proposed method are better than other existing methods and recovered images are closer to real images. Meanwhile, the Mean Square Error (MSE) is used to verify the proposed approach for the images recovered which are taken from the FRIDA database. Through the comparison of Inverse Discrete Cosine Transforms (IDCT) of haze images and haze-free images, the statistics of the comparison shows that the haze images consume more computation time. To improve the time complexity, the Graphics Processing Unit (GPU) was used to increase the computing efficiency. © 2015, ICIC International. Source

Sun T.,Northeast Normal University | Sun T.,Key Laboratory of Intelligent Information Processing of Jilin Universities | Guan W.,PLA Air Force Aviation University | Yang F.,Northeast Normal University | And 7 more authors.
ICIC Express Letters | Year: 2016

Subjective statement screening is a fundamental part of sentiment analysis of product reviews. Its aim is to extract the subjective texts from product reviews and filter objective texts that do not contain any sentimental information. The existing screening methods are mainly based on only one feature. However, single feature is insufficient to mark all subjective or objective statements. We propose a feature combination method based on the N-pos feature, the word feature and the syntactic dependency feature for subjective statement screening. The experiments on the real datasets show that the proposed feature combination method significantly improves the accuracy of subjective statement screening and is really feasible and effective. © 2016, ICIC Express Letters Office. All rights reserved. Source

Li Y.W.,Northeast Normal University | Li Y.W.,Key Laboratory of Intelligent Information Processing of Jilin Universities | Gao W.Z.,Audi AG | Zhang H.J.,Northeast Normal University | And 5 more authors.
Applied Mechanics and Materials | Year: 2014

To avoid injury with the coexistence of human and mobile robot in the circumstance, a vision-based system for mobile robot/human localization is designed and implemented. The details of the system are described in this paper. © (2014) Trans Tech Publications, Switzerland. Source

Sun H.,Northeast Normal University | Sun H.,Key Laboratory of Intelligent Information Processing of Jilin Universities | Yang Y.,Northeast Normal University | Sun T.,Northeast Normal University | And 5 more authors.
ICIC Express Letters | Year: 2016

Sentiment analysis is an important task in the field of natural language processing. This paper has focus on opinion target extraction of sentiment extraction in the primary task of sentiment analysis. First, the features are extracted from preprocessed results. Then, the results of feature extraction with the corresponding template will be input to the CRFs (Conditional Random Fields) module for training and recognition. In the process of feature extraction, three features are applied on the basis of existing features by analyzing syntactic structure. To select template with better performance, many comparison experiments have carried on a variety of templates with different sizes. Experimental results show our method is more effective than the baseline which can exactly extract opinion targets. © 2016 ISSN. Source

Zhang H.,Northeast Normal University | Zhang H.,Key Laboratory of Intelligent Information Processing of Jilin Universities | He X.,Northeast Normal University | He X.,Key Laboratory of Intelligent Information Processing of Jilin Universities | And 6 more authors.
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | Year: 2014

In order to meet the requirement of terrain dynamic modeling, a real-time modeling method for variable terrain is proposed. An adaptive multi-resolution model based on the connotative hierarchical structure is established, combined with physical-crater model. According to the different explosion position, the real-time terrain deformation effects can be rendered. To keep the details of physical-crater, the grid model with full resolution is adopted to build the carter model. According to the different incident direction and terrain features, an algorithm about deformation region extension is presented. Furthermore, the minimum projection area of crater is determined, and then the active points on the connotative hierarchical structure are defined. After changing the state of active points, the seamless fusion between the multi-resolution terrain and the crater model is realized. The above methods are applied to many benchmark data with different landform. The result, the deformation terrain model can realize space continuity. The dynamic terrain modeling approach meets the requirements of virtual environment simulation. ©, 2014, Science Press. All right reserved. Source

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