Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

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130 articles
Proceedings Article

Direct Position Determination by Double Fixed Station Based on Delay and AOA

Xiangyu Liu, Qing He, Zhengbo Sun
To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and...
Proceedings Article

Research on the Improved Method of Monocular Distance Measurement in Forest Fire Prevention

Shaoqing Tian
In the context of the research of fire location of forest fire, based on the existing two-dimensional data of the camera, a new method is proposed. This method improves the accuracy of the monocular distance measurement system by adding a dimension of information. Through the gray scale projection electronic...
Proceedings Article

A Key Management Scheme Based on Outsourced Database

Yonghui Shi, Kunfu Wang
Aiming at the security issues in outsourced databases about data confidentiality and integrity, this paper proposes a key management scheme which is safe and effective based on NTRU (Number Theory Research Unit) signature technology. Firstly, according to the structure of the data table, the attribute...
Proceedings Article

Improvement of GRBM Based on Activation Function

Ting Niu, Wenjing Huang, Xiang Gao
In this paper, inspired by ReLu and Softplus activation function, we propose two improved models of GRBM, called SPC-GRBM and RPC-GRBM, to obtain better recognition results. Different from the traditional activation-function-improved models, SPC-GRBM and RPC-GRBM focus on the visual layer activation...
Proceedings Article

Research on Application of Unity3D in Virtual Battlefield Environment

Jian Wu, Yaxiong Li, Qingguo Liu, Guohua Su, Kaifeng Liu
Virtual battle environment is an important visible platform for combat simulation. There-dimensional scene simulation is a basic part of virtual battlefield environment. Researching on application of unity3D in virtual battlefield environment is very meaningful. In the paper, involved subjects of there-dimensional...
Proceedings Article

A Review of Indoor-Outdoor Scene Classification

Zhehang Tong, Dianxi Shi, Bingzheng Yan, Jing Wei
Indoor-Outdoor scene classification problem have been proposed for almost 20 years and widely applied to general scene classification, image retrieval, image processing and robot application. But there is no consensus on one particular scene classification technique that can solve the Indoor-Outdoor...
Proceedings Article

State Space and Optimal Solution of Jigsaw Puzzle

Zhongping Liu, Xiaoyuan Liu
this paper hopes to find a planning algorithm for puzzle which is not based on search. The main idea is using the method of reducing dimension to decompose the puzzle. Firstly, we defined the jigsaw puzzle as discrete state space, and provided the functions of action space generation and state transformation;...
Proceedings Article

Dyslipidemia in Patients with Coronary Heart Disease and Cardiovascular Disease Risk Stratified Filtering

Chunhua Ma
Dyslipidemia AS one of the most important risk factors, with a variety of CAD and other AS sex of CVD occurrence is closely related to the oxidation of lipoprotein also plays a key role in the patients. A large number of research confirmed that high. X - LDL and ox - Lp (a) level is AS strong risk factors,...
Proceedings Article

An Efficient Method to Measure Evidence Conflict

Baojie Liu, Qingwen Yang, Xiang Wu, Yujuan Guo, Shidong Fang
Dempster Shafer evidence theory, as an uncertain information fusion technology, is widely used in various fields of information fusion. However, when there is a highly conflict between two pieces of evidence, counterintuitive results are obtained by classical Dempster's combination rule. Therefore, it...
Proceedings Article

The Virtual Acupuncture Based on Natural Gesture and Force Feedback

Sijie Lin, Guanglong Du, Ping Zhang
the paper presents a virtual acupuncture system which uses digital virtual human model to carry out the virtual acupuncture experiments by using natural gesture and force feedback. In the paper, five Leap Motions are employed to measure the position and orientation of the operator's hand. Due to the...
Proceedings Article

Framework for Social Relationship Recommendation

Jia Chen, Tongge Xu, Zhang Xiong
Find out the potential favorite data is the essence of recommendation techniques, which facilitates the recommendation techniques become a vital issue in the big data researches and applications. The traditional recommendation research and application centers on the commercial items and resources. We...
Proceedings Article

Real-time Tumor Tracking with Respiratory Motion Based on Short-term Prediction

Tian Qiao, Yixu Song, Chao Ren
The purpose of this study is to design a 3D navigation strategy with 2D ultrasonic images, with the assumption that the internal target trajectory could be evaluated with extern surrogate signals. This paper first proposes a simple 3D navigation strategy and then designs a fast tumor tracking system...
Proceedings Article

A Training System for Speech Disordered Children Based on the Intel RealSense Technology

Boyu Si, Zhaoming Huang, Baodan Bai
A training system for speech disordered children is presented in this research. The core technology includes face tracking and speech recognition, which are supplied by Intel RealSense SDK and its relative hardware, such as 3D camera F200. The system consists of the pronouncing learning module and the...
Proceedings Article

Analysis of the Atrial Signals Based on a Novel Complex Network

Baodan Bai, Boyu Si
Atrial fibrillation (AF) is one of the most common arrhythmia in clinical, which is the major cause of embolic events and stroke, resulting in an important morbidity and mortality. The mechanisms leading to AF are still under extensive research. In this study, we present a novel complex network approach...
Proceedings Article

Text Classification Model Based on Document Matrix Convolutional Neural Networks

Xuemiao Zhang, Weizhong Qian, Zhaoyi Liu, Xin He
This paper proposes a new text classification method named document matrix convolutional neural networks (DM-CNN). Unlike the original ways of converting texts into 1-dimensional vectors and processing each word as a pixel, this model is based on the n-dimensional word embeddings obtained in advance,...
Proceedings Article

Zero Pronoun Identification in Chinese Language with Deep Neural Networks

Tao Chang, Shaohe Lv, Xiaodong Wang, Dong Wang
Zero pronoun resolution is very important in natural language processing. Identification of zero pronoun is the fundamental task of its resolution. Existing feature engineering based identification approaches are unsuitable for big data applications due to labor-intensive work. Furthermore, as extracted...
Proceedings Article

With the basis of the Improved SAC Code of OCDMA Wavelength Division Passive Network Security Research

Lin Yang
This paper will improve the spectral amplitude coding is used for OCDMA wavelength division multiplexing passive optical network system. Improved the system bit error rate of less than 10-10, multiple access interference suppressed to some extent, the performance of the transmission network stable and...
Proceedings Article

The Classification of Underwater Acoustic Targets Based on Deep Learning Methods

Hao Yue, Lilun Zhang, Dezhi Wang, Yongxian Wang, Zengquan Lu
The underwater target classification is a challenging task due to the complexity of marine environment and the diversity of underwater target features. Most of the-state-of-the-art target recognition systems depend on feature extraction schemes based on expert knowledge in order to effectively represent...
Proceedings Article

Weibo Comments Sentiment Analysis Based on Deep Learning Model

Xixiang Hu, Yu Zhang, Hongli Zhang
In this paper, the sentiment analysis based on the deep learning model was studied. By comparing the effects of the shallow learning model SVM and the deep learning model LSTM on the classification of Weibo comments, we found that the classification result of the LSTM model is better than that of the...
Proceedings Article

An Efficient and Accurate Face Verification Method Based on CNN Cascade Architecture

Dangdang Chen, Lanqing He, Shengming Yu, Shengjin Wang
Unconstrained face verification has been actively studied for decades in computer vision. Recent algorithms rely on Convolution Neural Network to further improve the accuracy. However, such algorithms tend to be time-consuming and computationally complex, which cannot meet the real-time requirements....
Proceedings Article

Automatic Surface Size Distribution Observation of Graded Sand Bed Based on Digital Image Analysis

Zhijing Li, Jun Wang, Zhongwu Jin, Yinjun Zhou
Traditional method commonly used in bulk sampling and sieve analyses is inevitablely involved the bed surface excavation and destroy the original bed size distribution. In this work, an automatic surface size distribution observation method based on digital image analysis without involving the bed surface...
Proceedings Article

Analysis and Application of Infrared Phase Image

Jinyu Zhang
Infrared sequence image processing is widely used in engineering, but the research of infrared phase processing is rare. In this paper, a method of generating thermal wave phase image based on infrared phase locked-in, phase difference processing and its application in coatings defect detection and recognition...
Proceedings Article

Prediction and Simulation of Elliptical Drawing Based on DYNAFORM

Jun Liu, Jiansheng Xia, Bin Yuan
Sheet metal stamping is an important method of plastic processing, which is one of the basic means of modern manufacturing industry. With the increasing demands of stamping quality, the production quality of stamping process optimization requirements are also rising. In this paper, finite element theory,...
Proceedings Article

A Combined GLQP and DBN-DRF for Face Recognition in Unconstrained Environments

Hongping Hu, Yu Yang
This paper proposes a novel approach for accurate and robust face recognition by using Local Quantized Patterns computed from gabor-filtered images(GLQP) and Deep Belief Network ensembled dynamic random forests(DBN-DRF). GLQP is a kind of local pattern feature extractor based on gabor filters applying,...
Proceedings Article

A Method of Learner's Sitting Posture Recognition Based on Depth Image

Xing Zeng, Bei Sun, Enlong Wang, Wusheng Luo, Taocheng Liu
Real-time detection of learner's sitting posture not only helps prevent myopia in time but also promotes the improvement of learning efficiency. However, most of the current sitting detection methods have the shortcomings of low detection variety and recognition rate, et al. Based on this, a sitting...
Proceedings Article

Metadata Based Visualization System for Multidimensional Data

Yan Peng
With the ability to measure and simulate more processes at finer scales, the number of data dimensions and data objects has grown significantly in today's datasets. Much existing research has focused on different visualizations for different data exploration tasks. In this paper, based on the financial...
Proceedings Article

A New VLAD Method with Dense SIFT Selection Application in Image Classification

Zhi Qian, Qijun Hong, Gang Huang, Pingping Liu, Yuanjie Yan, Min Xie
Since Dense SIFT causes a long time spending during clustering due to an excessive order of magnitude, and its feature descriptors reserve excessive insignificant features, we present a new method that using SLIC to select descriptors to address this problem. Furthermore, when VLAD aggregates, the partial...
Proceedings Article

Adaptive Gain Tuning Feedback Control of a Flexible Manipulator

Minoru Sasaki, Toshifumi Kojima, Kojiro Matsushita, Satoshi Ito, Titus Mulembo, IlhamdiMuhammad Rusydi
This paper presents vibration control of a flexible manipulator by an adaptive direct strain gain tuning feedback control. Adaptive feedback gain tuning is applied on the measured strain. These experiments compared the control performance of fixed and adaptive feedback gain control. Results show that...
Proceedings Article

Research on Fast Imaging Method of X - Ray Flat Panel Detector Based on Pre - Offset

Chengcheng Fan, Xiao'ou Li, Ronghua Ling, Han Xiao
In view of the problem that the X-ray flat panel detector products are slow from receiving X-Ray tube's exposure to generating the X-Ray medical image, it can not meet the time requirement of post-processing customers. It uses pre-offset calibration to reconstruct dark-field template based on the ck1417...
Proceedings Article

Color Image Segmentation Using Improved Method of Normal Cut

Adnan Ahmad, Guo Ling, Hassan Hayat
Image segmentation is a key problem in several fields of science and technology, for E.g. medicine, robotics, and industrial development. The importance of perceptual grouping and organization in vision possess numerous significant factors, such as similarity, proximity, and good continuation, which...