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132012 articles
Proceedings Article

Study on Word Alignment for Reordering of Web-mined OOV Translation Candidates

Shuang Li, Meng Sun, Yang Yang, Jianmin Yao
Web information retrieval technology has been widespread concerned by research-ers. Web-based search of the OOV Trans-lation Mining has also become hot spots. In this paper, the re-ordering of OOV translation candidates is studied, which is the result of web mining. Automatic word alignment technology...
Proceedings Article

A Study on the Analysis System of the Harmony Integration in Privacy Enter-prise Senior Team

Zhen Wang, Wenming Li, Bo Pang
In order to control the development of the private enterprise senior team integration, the leaders of private enterprise must build the analytical system of the harmo-nious integration. The author try to deeply research the structure, levels, es-timating index of the system based on the harmonious theory,...
Proceedings Article

A Multi-theory Based Definition of Key Stuff in Enterprise

Zhen Wang, Baiqing Sun
Under the environment of hypercompeti-tion, key stuff in one enterprise has al-ready become a key factor of competition between enterprises. But there are so many issues on the definition of key stuff that the enterprise can’t effectively ad-ministrate them and have them work in full potentiality. As...
Proceedings Article

A Face Detection Method Based on Skin Color Model

Dazhi Zhang, Boying Wu, Jiebao Sun, Qinglei Liao
Face detection plays a very important role in pattern recognition and the precision of face detection directly affects the following results. This paper proposes a fast and precise method of face detection in complex background based on skin color model. Firstly, we extract skin color regions of the...
Proceedings Article

Invariant Features Extraction for Banknote Classification

Peng Wang, Peng Liu
An invariant feature extraction method is proposed for banknote classification. The movement of banknote is complex in the channel of financial instruments. The scale is various. The rotation and translation are also to occur. The method of feature extraction is insensitive to the variety of scale, rotation...
Proceedings Article

Nonlinear Diffusion Combined with Brownian Motions for Image Denoising

Mingliang Guo, Peng Liu
We introduce Brownian motion into the nonlinear diffusion process for image denoising in this paper. Brownian motion in our work stands for the variation of gray value of a pixel in the form of “random walking” which analogs the irregular and unceasing movement of a small particle. A reflection wall...
Proceedings Article

Distances Tree as SVM Ensemble in Digits Recognition Task

Marcin Jerzy Luckner
This paper presents several algorithms that create a classification system based on SVM classifiers grouped in a tree structure. Analysis of similarity between classes allows to reduce of number of used SVM in comparison to DAGSVM method without major reduction of an accuracy. Practical tests of map...
Proceedings Article

Speedup Factor Estimation through Dynamic Behavior Analysis for FPGA

Zhongda Yuan, Jinian Bian, Qiang Wu, Oskar Mencer
In reconfigurable platform, before convert and download program into real hardware, reliable estimation of speedup factor is of great importance for task schedulers. In this paper, a novel technique for speedup factor estimation is proposed. From the event patterns collected by hardware counters built...
Proceedings Article

Distance matrix analysis of mutual secondary structure pairs for multiple structure alignment

Chiang-Man Sun, Tun-Wen Pai, Jen-Chun Hung, Ying-Tsang Lo, Po-Hung Chen
The main goal of the proposed system is to enhance the mutual correlation of sec-ondary structure element (SSE) pairs for multiple structure alignment. The algo-rithm utilizes the local matching advan-tages through distance matrix approach to extract suitable candidates of SSE pairs. The similarity scores...
Proceedings Article

The Features Vector Research on Target Recognition of Airplane

Shuangzi Sun, Lihong Yuan, Yong Yang, Xiaochao Chen
The selection of the features vector is crucial, taking direct effect on the accuracy of target recognition. Considering that the airplane has smooth surface and regular geometric shape, this paper chooses the geometric shape feature to describe the target of airplane. These geometric features vector...
Proceedings Article

A Link Structure Based Website Topic Hierarchy Extracting Approach

Zhao Xu, Qingcai Chen, Hongzhi Guo
Visualizing hierarchy of a website is very helpful for both users’ navigating and search engine efficiently presenting results. In this paper, treating webpages as nodes and hyperlinks as directed edges, the link structure is firstly modeled as weighted directed graph. Considering multiple website features,...
Proceedings Article

Deadlock Avoidance of a Kind of JSP with Multi-resources Sharing

Jing Li, Hejiao Huang, Farooq Ahmad
This paper presents the scheduling problem with multi-resource sharing, which each operation may need more than one kinds of resource. Timed Petri net is used to formulate this problem to analyze deadlock and minimize the makespan. A deadlock avoidance policy addressed here consists of three stages:...
Proceedings Article

Demonstration of Learned Helplessness with Fuzzy Reinforcement Learning

Vali Derhami, Zahra Youhannaei
This paper demonstrates a kind of learned ‎helplessness in human being that is ap-‎peared in Fuzzy Reinforcement Learning ‎‎(FRL) algorithm. At the beginning of ‎learning, when an agent continuously per-‎forms actions that cause sequential pun-‎ishments, afterwards it does not usually ‎behave well and...
Proceedings Article

Chinese Part-of-speech Tagging Based on Fusion Model

Guanglu Sun, Fei Lang, Peili Qiao, Zhiming Xu
This paper proposes a new part-of-speech tagging algorithm based on the fusion model which combines Maximum Entro-py model and Error Correction model. According to the analysis of the two models, the fusion tagging model is uti-lized with the profits of conditional prob-ability model and rule based model....
Proceedings Article

Even Distribution Evaluation in Random Stimulus Generation

Zhiqiu Kong, Shujun Deng, Jinian Bian, Yanni Zhao
This paper has two contributions: First is to analyze the entropy evaluation for random stimulus generation in one paper of DATE 2008; second is to present better methods to evaluate the solutions’ even distribution for random stimulus generation. An evaluation strategy called min-distance-sum takes...
Proceedings Article

Chinese Chunking Algorithm Based on Cascaded Conditional Random Fields

Guanglu Sun, Yuanchao Liu, Peili Qiao, Fei Lang
This paper presents a new Chinese chunking algorithm based on cascaded conditional random fields. Conditional random fields solve the tagging problems well, while the cascaded models restrain the affection of part-of-speech errors. The experimental results show that this approach achieves impressive...
Proceedings Article

A adaptive based routing for MANET

Zhongqiu Li, Hongpeng Wang
Self-selective routing (SSR) protocol is a novel self-selective, self-maintained and fault-tolerant routing protocol for MANET. SSR has some fatal faults, such as high packet collision and only providing low available andwidth. In this paper, we present a new routing protocol called Self-selection Based...
Proceedings Article

Fast Tracking 3D Arm Motion with Joint-Chain Motion Model

X.S. Yu, W Zhao, J.F. Liu, X.L. Tang, J.H. Huang
Focusing on the problem of low computa-tion efficiency in the process of tracking human 3D motion, the fast tracking algo-rithm for 3D arm motion based on Joint-Chain Motion Model (JCMM) is pro-posed based on the Particle Filter. In our algorithm, via the Joint-Chain Motion Model (JCMM) is defined, the...
Proceedings Article

A Software Dependability Growth Model based on Self-Reconfiguration

Qian Zhao, HuiQiang Wang, HongWu Lv, Guangsheng Feng
With wide application of computers, software quality attracts people`s atten-tion. Traditional software dependability theory can’t satisfy people`s requirement, which need induct new idea to resolve the serious software quality crisis. This paper uses self-reconfiguration mechanism of Autonomic Computing...
Proceedings Article

Ultrasound Speckle Reduction Based on Image Segmentation and Diffused Region Growing

Xiaoying Li, Dong C. Liu
This paper presents an adaptive speckle reduction method through diffused growing region filtering based on image segmentation. The main idea is to smooth the speckle regions adaptively and preserve the edge and tissue structure. The criterion of speckle region is defined from a similarity value obtained...
Proceedings Article

Functional Residue Prediction by Multiple Sequence Alignment for Carbohydrate Binding Modules

WI Chou, WY Chou, SC Lin, TY Jiang, CY Tang, Margaret DT Chang
Multiple sequence alignment is often used to locate consensus sequence stretches with evolutionary and functional conservation. However, when sequence similarity among the queries becomes low, sequence alignment tools generate extremely diverse results. The aim of this study is to incorporate relevant...
Proceedings Article

Effect of a Novel Segment Algorithm on Radiologist’s Diagnosis of Masses Using Breast Ultrasound Imaging

Jia-Wei Tian, Chun-Ping Ning, Yan-Hui Guo, Xiang-Long Tang, Ying Wang, H.D. Cheng
To investigate the effect of using a novel segment algorithm on radiologists’ sensitivity and specificity for discriminating malignant masses from benign masses using breast ultrasound (BUS) imaging. 510 conventional BUS images acquired from 109 masses were processed by the novel segment algorithm. Five...
Proceedings Article

The Digital Database for Breast Ultrasound Image

Jia-wei Tian, Ying Wang, Jian-hua Huang, Chun-ping Ning, Han-mei Wang, Yan Liu, Xiang-long Tang
The Digital Database for Breast Ultrasound Image (DDBUI) is a database of digitized screen sonography with associated ground truth and some other information. The DDBUI project is a collaborative effort involving the Harbin Institute of Technology and the Second Affiliated Hospital of Harbin Medical...
Proceedings Article

Evaluation of Risk Area by Myocardial Contrast Echocardiography with a New Computer-aided Method

Jia-Wei Tian, Guo-Qing Du, Ying Liu, Min Ren, Ying Wang, Meng Zhang, Xiang-Long Tang, H.D. Cheng, Yan-Hui Guo
Evaluation of Risk Area by Myocardial Contrast Echocardiography with a New Computer-aided Method
Proceedings Article

Grid Particle Filter for Human Head Tracking Using 3D Model

Chenguang Liu, Jiafeng Liu, Jianhua Huang, Xianglong Tang
A new 3D head-shoulder model based particle filter is presented for finding human head in static images. Edge cues are used as the likelihood function of the proposed particle filter. The positions of head as well as its direction are evaluated simultaneously. At each time step, the proposed algorithm...
Proceedings Article

Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis

Bo Liu, H. D. Cheng, Jianghua Huang, Jiafeng Liu, Tang XIanglong
In this paper, a novel fully automatic classification method of breast tumors using ultrasound (US) image is proposed. The proposed method can be divided into two steps: “ROI generation step” and “ROI classification step”. In the ROI generation step, the proposed method fo-cuses on finding a credible...
Proceedings Article

A novel particle filter based people tracking method through occlusion

Yuru Wang, Wei Zhao, Jiafeng Liu, Xianglong Tang, Peng Liu
A novel multi-regions based particle filters that effectively deals with occlusion problem in people tracking has been proposed in this paper. After locating multiple key regions, the algorithm uses several nearly independent particle filters (NIPF) to track each region which will be influenced by the...
Proceedings Article

Multi-Class Object Classification and Lo-cation of Thermal Imagery in Electric Substation

Yubo Li, Hengda Cheng, Xianglong Tang, Jiafeng Liu
We present an algorithm based on chamfer matching for classification and location of thermal imagery in electric substation. We first refine the chamfer algorithm, then we present a new object class classification and location algorithm based on chamfer distance, also we analyze the object class recognition...
Proceedings Article

Ultrasound Image Segmentation Based On Probability Distance and Maximum Likelihood

Bo Liu, H. D. Cheng, Jianghua Huang, Jiafeng Liu, Tang Xianglong
In this paper, a novel geometric active contour model for segmenting ultrasound image is presented. A partial differential equation is designed to minimize the dif-ference between the actual and the esti-mated intensity probability distributions of the image regions. The Rayleigh dis-tribution and maximum...
Proceedings Article

Locating theWood Defects with Typical Features and SVM

Zhao Zhang, Ning Ye, Dongyang Wu, Qiaolin Ye
The main purpose of this paper is to present a new wood defect recognition method. Moreover, the results of our proposed method presented here were good or considerably better than the results obtained by the other two methods. The experimental results show our proposed method has better robust to the...
Proceedings Article

Adaptive Algorithm in Image Denoising Based on Data Mining

Yan-hua Ma, Chuan-jun Liu
An adaptive filtering algorithm based on data mining is proposed for image de-noising when an image is merged by pep-per-and-salt noise. It can adjust the rotat-ing mask size based on the noisy density in the input image so that it raises greatly the computing speed; On the other hand, the algorithm...
Proceedings Article

Land Covers Classification for Remote Sensing Images Based on Spectral and Textural Information

Wei Zhao, Shumei Cui
In this paper, the classifiers for land/water and natural land/artificial land combined the texture measures with spectral analysis for remote sensing images have been built. The specific recognition has been designed in order to take advantages of both analyses. Moreover, coastal line development analysis,...
Proceedings Article

Similarity Based Fuzzy and Possibilistic c-means Algorithm

Chunhui Zhang, Yiming Zhou, Trevor Martin
A similarity based fuzzy and possibilistic c-means algorithm called SFPCM is presented in this paper. It is derived from original fuzzy and possibilistic c-means algorithm(FPCM) which was proposed by Bezdek. The difference between the two algorithms is that the proposed SFPCM algorithm processes relational...
Proceedings Article

Discovering Intraday Price Patterns by Using Hierarchical Self-Organizing Maps

Chueh-Yung Tsao, Chih-Hao Chou
Motivated from the financial literature about the intraday trading behavior, we use the hierarchical self-organizing maps to detect the price patterns during three trading periods, namely, the opening, the middle, and the close of the market. It is found from the empirical study that the three trading...
Proceedings Article

Toward A Measurement Model of Fuzzy Prioritization Operators

The Fuzzy Prioritization Operators (FPOs) have been studied by various studies. As various FPOs produce different results, the fitness levels of FPOs are necessary to be measured. This research reviews two important FPOs, and proposes a Fuzzy Prioritization Measurement (FPM) model to measure the appropriateness...
Proceedings Article

A Comparative Study of Intuitionistic Fuzzy Entropy on Attribute Importance

Ting-Yu Chen, Chia-Hang Li, Che-Wei Tsui
We propose a new objective weight method by using intuitionistic fuzzy (IF) entropy measures for multiple attribute decision making (MADM). We utilize the nature of IF entropy to assess the attribute weight based on the credibility of data, and the concept is totally different with the traditional one....
Proceedings Article

Optimism and Pessimism in Decision Making Based on Intuitionistic Fuzzy Sets

Ting-Yu Chen, Che-Wei Tsui
This paper presents a method of relat-ing optimism and pessimism to multiple criteria decision analysis based on intuitionistic fuzzy sets. We develop the concepts of optimistic and pessimistic point operators to measure optimism and pessimism, respectively. Furthermore, we provide an approach to effectively...
Proceedings Article

Power aware accuracy-guaranteed fractional bit-widths optimization

Linsheng Zhang, Yan Zhang, Wenbiao Zhou
A novel power aware accuracy-guaranteed fractional bit-widths optimization scheme for floating-point to fixed-point transformation of DSP algorithms is presented in this paper. Quantization-Operation-Error (QOE) model is used to construct the worst case quantization error propagation. Based on QOE, a...
Proceedings Article

Application of Decision Trees in Mining High-Value Credit Card Customers

Jian Wang, Bo Yuan, Wenhuang Liu
Along with the rapid growth of credit card market in China, each bank has al-ready accumulated a large number of cus-tomers. Since it is well known that the majority of the profit usually comes from a small portion of the customers, how to identify high-value customers is an im-portant issue to be addressed...
Proceedings Article

Predicting Credit Card Customer Loyalty Using Artificial Neural Networks

Tao Zhang, Bo Yuan, Wenhuang Liu
Customer loyalty is one of the key factors in customer retention and segmentation. However, quantitative research in this area based on non-subjective data has been rare in the literature. This paper shows how back propagation neural networks can be used to predict the loyalty level of credit card customers...
Proceedings Article

Adaptive frequency domain filtering of legacy cosmic ray recordings

Gunther Drevin
This paper describes an adaptive frequency domain filtering method to enhance the scale and hour lines as well as the data trace prior to their segmentation and extraction.
Proceedings Article

Classification of Breast Masses Using Color Doppler Flow Imaging

Yingtao Zhang, H. D. Cheng, Yan-Hui Guo, Jiawei Tian, Jianhua Huang, Bo Liu, Yanxin Su
Proceedings Article

A Type-2 Fuzzy Rule-Based Expert System Model for Portfolio Selection

M.H. Zarandi, E. Hajigol Yazdi
This paper presents a type-2 fuzzy rule based expert system to handle uncertainty in complex problems such as portfolio selection. In a type-2 fuzzy expert system both antecedent and consequent have type-2 membership function. This research uses indirect approach fuzzy modeling, where the rules are extracted...
Proceedings Article

The Innovation Study of Management Theory

Fenghai Zhang, Tieshan Hou, Zhen Wang
Management in our country faces strong challenges at the turn of the century. By analyzing the hotspots disturbed in Chinese management field, a new idea is proposed in this paper. This idea showed that it is necessary to build a management theory to accommodate the requirements of times dynamically....
Proceedings Article

Quasi-Chord: physical topology aware structured P2P network

Mingsong Sun, Zhongqiu Zhang
A new approach is proposed in our paper to solve the topology mismatch problem in P2P network called Quasi-Chord. Quasi-Chord is in the light of the ideology of Chord. Our model utilizes global network position (GNP) system to coordinate the host on the physical layer and uses the Cantor space filling...