作者机构：
[Yu, Xin Guo; He, Bin; Zhuang, Jiao Jiao; Sun, Jia Yu; Dai, Zi Chun] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
通讯机构：
[Yu, Xin Guo] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
会议名称：
3rd International Conference on Mechatronics and Intelligent Robotics (ICMIR)
会议时间：
MAY 25-26, 2019
会议地点：
Kunming, PEOPLES R CHINA
会议主办单位：
[Yu, Xin Guo;Sun, Jia Yu;He, Bin;Zhuang, Jiao Jiao;Dai, Zi Chun] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
摘要：
This paper designs and implements the automatic invigilation functions using the embedded technology. It proposes a framework for automatic invigilation, which conducts the invigilation functions of the entire examination process. In the examination preparation stage, the framework collects the registration details of examinees and verifies the details with the database through the remote server. During the examination ongoing stage, it keeps checking the consistence between each examinee and his examination materials by photographing the examinee and scanning the QR codes on examination papers, sketch papers, and answer sheets. In the examination ending stage, it checks the consistence of an examination bag and the materials being put into it by scanning and verifying the QR codes on them. The framework reduces the human workload by using automatic functions to replace the human work. The tests demonstrates that the framework can perform the designed functions. (C) 2020 The Authors. Published by Elsevier B.V.
作者：
Xinguo Yu（余新国）;Wu Song;Xiaopan Lyu;Bin He;Nan Ye
期刊：
International Journal of Digital Crime and Forensics,2020年12(2):21-39 ISSN：1941-6210
作者机构：
[Xinguo Yu] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China;[Nan Ye] University of Queensland, Brisbane, Australia;[Wu Song; Xiaopan Lyu; Bin He] Central China Normal University, Wuhan, China
期刊：
Lecture Notes in Computer Science,2018年10749:314-325 ISSN：0302-9743
通讯作者：
He, Bin
作者机构：
[Yu, Xinguo; He, Bin; Jian, Pengpeng; Xia, Meng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.;[Zhao, Gang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.
通讯机构：
[He, Bin] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议名称：
8th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
会议时间：
NOV 20-24, 2017
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Yu, Xinguo;Jian, Pengpeng;He, Bin;Xia, Meng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.^[Zhao, Gang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.
摘要：
This paper presents an algorithm for understanding problems from circuit schematics in exercise problems in physics at secondary school. This paper models the problem understanding as a problem of extracting a set of relations that can be used to solve problems with enough information. The challenges lie in not only analyzing the circuit schematics but also extracting the proper relations for a given exercise problem. To face these challenges a novel approach is proposed to detect circuit nodes with their current flows to extract the current equations for nodes. And the other novel approach is proposed to extract voltage equations of independent loops. The proposed approach was tested with a dataset collected from the text books and the exam papers for the students at secondary schools. Experimental results show that the effect of recognition and analysis we designed delivers promising result, and our approach can be adapted to more complex electrical circuit analysis.
摘要：
Extracting algebraic relations from a given circuit image is still a challenge task due to the complex topology of considered circuit. This paper presents an approach for extracting algebraic relations from circuit images through producing a set of atomic topologies from the complex topology of a given circuit. In which, algebraic relations, in form of a set of equations involving voltage, current and resistance relations from atomic topologies that is obtained by an iteratively operation of transforming a complex series/parallel connection into a series of atomic connection topology breaking down and shrinking. The extracted algebraic relations can be used to solve the exercise problem described by the circuit. Experimental results on 20 exercise problems show that the proposed algorithm can obtain a complete set of algebraic relations that can be used to solve the given problem. Further experiments conducted on a dataset of 200 scanned circuit images from the text books and exam papers demonstrate the proposed algorithm is the robustness and effectiveness.
期刊：
Lecture Notes in Computer Science,2018年10749:366-381 ISSN：0302-9743
通讯作者：
Gan, Wenbin
作者机构：
[Yu, Xinguo; Gan, Wenbin; He, Bin; Wang, Mingshu; Sun, Chao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Gan, Wenbin] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议名称：
8th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
会议时间：
NOV 20-24, 2017
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Gan, Wenbin;Yu, Xinguo;Sun, Chao;He, Bin;Wang, Mingshu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Plane geometry problem understanding;Geometric relation extraction;S-2 model;Visually presentation;Textual information extraction;Visual information extraction
摘要：
Speech interaction is a prominent interaction technology in educational robot, and educational robot with speech interaction can have a more harmonic and natural way of interaction. In some specific application scenarios such as education, the performance of speech recognition is not satisfactory due to the wide range of vocabularies and poor network. This paper trains the language model with professional vocabulary in the specific subject and establishes the corresponding phonetic dictionary in speech recognition based on Sphinx, and combines with speech synthesis based on Ekho to implement the speech interaction of educational robot in the offline state, and designs the relevant application of speech interaction about the teaching scenario of Chinese ancient poetry. The experiment demonstrates that the system designed and implemented can meet the demand of practical application of speech interaction in specific subject, and achieve the purpose of enhancing the student's learning experience and improving the learning effect.
摘要：
The development of a guide robot with explanatory features has always been a subject of concern. Based on NAO, a guide robot with Chinese and English voice recognition and expression is implemented, which enables visitors to interact with the robot in the exhibition hall. This paper designs interaction scheme, using the exhibition hall of the project team as experimental environment, focusing on how to make robots provide explanation service, especially on understanding the questions from visitors and the emotional expression of answers to visitors. This paper uses existing speech recognition methods and designs the explanation content and the dialog form, which allows the robot to recognize the questions from visitors, and combine speech representation with robot body movements so that the robot can express emotions to a certain extent. Finally, this paper verified the robot in the plane exhibition hall specializing in foreign propaganda, and the robot is able to perform their daily work on explanation, and greatly enhance the interactive experience of visitors.
作者机构：
[Yu, Xinguo; He, Bin; Jian, Pengpeng; Xia, Meng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.;[Chen, Zhanwen; Meng, Hao] Cent China Normal Univ, Wollongong Joint Inst, Wuhan, Hubei, Peoples R China.
会议名称：
2nd International Conference on Robotics and Automation Engineering (ICRAE)
会议时间：
DEC 29-31, 2017
会议地点：
Shanghai, PEOPLES R CHINA
会议主办单位：
[He, Bin;Xia, Meng;Yu, Xinguo;Jian, Pengpeng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.^[Meng, Hao;Chen, Zhanwen] Cent China Normal Univ, Wollongong Joint Inst, Wuhan, Hubei, Peoples R China.
摘要：
The educational robotics is a novel technology for preschooler's companion and can be used for lower level education. This paper presents an AI-based robot system for achieving educational aims, such as metacognition tutoring and geometrical thinking training, with characteristics of contextual teaching by mining knowledge from the real world directly. For metacognition tutoring in our system, objects in real world are detected and a set of learning materials associated with the objects is presented for learners. For example, when a cat is detected, the robot will teach learners to pronounce the "Cat" in different languages, and more knowledge about cat will be pushed to the learners. For geometrical thinking training, an automatic questioning-and-answering section is employed to engage the learner to think, which is carried by a voice interaction between learners and robots. In our experiment, a set of specific object images are captured to validate the feasibility and efficiency of the proposed system. Our study indicated that the proposed system succeeded in captivating the children and parents in maximizing the children's desire to explore.
期刊：
ACM International Conference Proceeding Series,2013年:364-367
作者机构：
[Xinguo Yu; Jun Cheng; Wu Song; Bin He] National Engineering Research Center for E-Learning, Center China Normal University, Wuhan, 430079, China
会议论文集名称：
ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
关键词：
digit localization;Localization procedure;Pixel recovery;Removal algorithms;secondly-periodicity;Surveillance video;Time-stamp;Video surveillance;Algorithms;Applications;Internet;Monitoring;Network security;Pixels;Security systems
期刊：
Proceedings of SPIE - The International Society for Optical Engineering,2012年8349 ISSN：0277-786X
通讯作者：
Zhao, G.(zhaogang@mail.ccnu.edu.cn)
作者机构：
[Zhao, Gang] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China;[Li, Yangyang; Zhao, Gang; He, Bin; Liu, Qifang] Department of Information Technology, Huazhong Normal University, Wuhan, China
会议名称：
4th International Conference on Machine Vision (ICMV) - Machine Vision, Image Processing and Pattern Analysis
会议时间：
DEC 09-10, 2011
会议地点：
Singapore, SINGAPORE
会议论文集名称：
Proceedings of SPIE
关键词：
video stitching;camera pose estimation;boundary resampling
摘要：
This paper concerns the problem of video stitching automatically in a multi-camera surveillance system. Previous approaches have used multiple calibrated cameras for video mosaic in large scale monitoring application. In this work, we formulate video stitching as a multi-image registration and blending problem, and not all cameras are needed to be calibrated except a few selected master cameras. SURF is used to find matched pairs of image key points from different cameras, and then camera pose is estimated and refined. Homography matrix is employed to calculate overlapping pixels and finally implement boundary resample algorithm to blend images. The result of simulation demonstrates the efficiency of our method.
期刊：
Proceedings of SPIE - The International Society for Optical Engineering,2012年8350:587-591 ISSN：0277-786X
通讯作者：
Hu, Yan
作者机构：
[He, Bin; Yang, Yongchao; Hu, Yan; Zhao, Gang; Shen, Guosheng] Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Hu, Yan] H;Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
会议名称：
2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)
会议时间：
2010-10-17
会议地点：
昆明
会议主办单位：
[Hu, Yan;Yang, Yongchao;Zhao, Gang;He, Bin;Shen, Guosheng] Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
会议论文集名称：
2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)论文集
关键词：
Model Transformation;Large-scale three-Dimensional Scene model;Model Optimization;Data loss;Realtime rendering
摘要：
During the simulation process of real-time three-dimensional scene, the popular modeling software and the real-time rendering platform are not compatible. The common solution is to create three-dimensional scene model by using modeling software and then transform the format supported by rendering platform. This paper takes digital campus scene simulation as an example, analyzes and solves the problems of surface loss; texture distortion and loss; model flicker and so on during the transformation from 3Ds Max to MultiGen Creator. Besides, it proposes the optimization strategy of model which is transformed. The operation results show that this strategy is a good solution to all kinds of problems existing in transformation and it can speed up the rendering speed of the model.
