作者机构：
[Yu, Xinguo; Zeng, Zhizhong; Wang, Mingshu; Fan, Jiqiang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430073, Peoples R China.
会议名称：
2015 International Conference of Educational Innovation Through Technology - (EITT)
会议时间：
OCT 16-18, 2015
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Yu, Xinguo;Wang, Mingshu;Zeng, Zhizhong;Fan, Jiqiang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430073, Peoples R China.
关键词：
math problem solver;automated reasoning;semantic models;humanoid solution
摘要：
This paper addresses the problem of solving arithmetic word problems that are directly stated in Chinese without any implicit quantity relations. This problem relates with the multiple challenging problems in artificial intelligent area. This paper proposes multiple new methods to overcome the challenges of the problem and forms a four-step algorithm. The first step is to parse the input math problem into phrases with property annotation. The second one is to use a pool of the semantic models to convert a math problem into a set of high-order equations. The third one is a procedure to solve the set of equations. The last step is to convert the machine solution into a humanoid solution. The experimental results on 140 arithmetic word problems from the text books show that the proposed method has a very good potential.
摘要：
This paper develops a SDK for reconstructing plane geometry figures in documents, which can be used in multiple cases of the education. This SDK is an indispensable function of solving plane geometry problems automatically and it can save the dear time if users use it to replace the work of drawing plane geometry figures. This SDK consists of two main components which are the recognition and the drawing of plane geometry figures. In the component of recognizing plane geometry figures, it has a set of functions that recognize all the primitive shapes of plane geometry figures from image documents and describes the recognized primitive shapes in XML or latex. In the component of drawing plane geometry figures, it has a set of functions that draw all the primitive shapes described in XML or latex and generate a final figure in JPEG. Users can just edit the XML or latex document describing the original figure to add some primitive shapes into the original figure. As you can know, the developed SDK can be added into the document editing software to enhance its function. The test results demonstrate that our SDK can recognize and draw the plane geometry figures well.
作者：
Yu, Xinguo（余新国）;Ding, Wan;Zeng, Zhizhong*;Leong, Hon Wai
期刊：
International Journal of Pattern Recognition and Artificial Intelligence,2015年29(4):1555006:1-1555006:21 ISSN：0218-0014
通讯作者：
Zeng, Zhizhong
作者机构：
[Yu, Xinguo; Zeng, Zhizhong; Ding, Wan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Leong, Hon Wai] Natl Univ Singapore, Dept Comp Sci, Singapore 117417, Singapore.;[Zeng, Zhizhong] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
通讯机构：
[Zeng, Zhizhong] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
关键词：
Digit localization;digit recognition;digital video clock;second-pixel periodicity;deep learning;conditional random field
摘要：
This paper presents an algorithm for reading digital video clocks reliably and quickly. Reading digital clocks from videos is difficult due to the challenges such as color variety, font diversity, noise, and low resolution. The proposed algorithm overcomes these challenges by using the novel methods derived from the domain knowledge. This algorithm first localizes the digits of a digital video clock and then recognizes the digits representing the time of digital video clock. It is a robust three-step algorithm. The first step is an efficient procedure that directly identifies the region of the second digit at a very low computational cost, which replaces the traditional tedious image processing procedure of identifying the second digit region. The success of the first step mainly leverages on the novel second-pixel periodicity method. Using the acquired second digit region as input, the second step is a clock digit localization procedure. It first acquires the colors of the digits of the digital video clock and performs the color conversion. Then it localizes the remaining clock digits. Finally, the last step is a clock digit recognition procedure. It first employs an enhanced digit-sequence recognition method to robustly recognize the digits on the second; it then adopts a deep learning procedure to recognize the remaining digits. The proposed algorithm is tested on a prepared benchmark of 1000 videos that is publicly available and the experimental results show that it can read digital video clocks with a 100% accuracy at a low computational cost.
作者机构：
[Zha, Zheng-Jun] Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China;[Lienhart, Rainer] University of Augsburg, Augsburg, Germany;[Yu, Xinguo] Central China Normal University, Wuhan, China;[Satoh, Shinichi] National Institute of Informatics, Tokyo, Japan;[Liu, Yan] Hong Kong Polytechnic University, Hong Kong, China
通讯机构：
[Zheng-Jun Zha] H;Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
期刊：
Lecture Notes in Computer Science,2013年7732 LNCS(PART 1):318-326 ISSN：0302-9743
作者机构：
[Xinguo Yu; Tie Rong; Lin Li] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China;[Hon Wai Leong] Dept of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543, Singapore;Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632, Singapore
期刊：
ACM International Conference Proceeding Series,2012年:i
通讯作者：
Yu, X.
作者机构：
[Yu, Xinguo] Central China of Normal University, China;[Satoh, Shin'ichi] National Institute of Informatics, Japan;[Liu, Yan] Hong Kong Polytechnic University, Hong Kong;[Zha, Zheng-Jun] National University of Singapore, Singapore;[Lienhart, Rainer] University of Augsburg, Germany
