Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

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287 articles
Proceedings Article

Neural network model based predictive control for multivariable nonlinear systems

Jixin Qian, Yang Jianfeng, Zhao Jun, Niu Jian
A nonlinear model predictive control (NMPC) algorithm based on a BP-ARX combination model is proposed for multivariable nonlinear systems whose static nonlinearity between inputs and outputs could be obtained. The dynamic behavior of the system is described by a parameter varying ARX model, whose parameters...
Proceedings Article

Research on SVM ensemble and its application to remote sensing classification

Heng-nian Qi, Mei-li Huang
The paper analyzes the key concepts, theories and methods of machine learning ensemble, and reviews the related studies on support vector machine (SVM) ensemble. The experiments on the remote sensing classification show that SVM ensemble is more accurate than single SVM. To obtain an effective SVM ensemble,...
Proceedings Article

The Improved BP Neural Network Model and Its Application in Enterprise Strategic Management Performance Measurement

Zhibin Liu, Peng Shen, Shaomei Yang
To evaluate the enterprises' strategic management performance scientifically and accurately, this paper proposes the improved BP neural network model which imports the adjustable activation function and the Levenberg-Marquardt optimization algorithm. The improved model not only can simulate the expert...
Proceedings Article

Gray Tunneling Based On Block Relevance for Focused Crawling

Na Luo, Zuo WanLi
Focused crawlers are programs designed to selectively retrieve Web pages relevant to a specific domain for the use of domain-specific search engines. Tunneling is a heuristic-based method that solves global optimization problem. In this paper we defined Gray Tunneling and use content block algorithm...
Proceedings Article

Noninvasive extraction of dynamic information of human vascular wall

Gan Ping, Hongming Tan, LiLi Chen, Jiao Feng
Many cardiovascular diseases such as hypertension, artherosclerosi are subject to remodel the characteristics of vascular wall; at the same time, this change is able to result in a counteractive with these diseases. It is significant to find out vascular pathological changes as early as possible. In...
Proceedings Article

The Combining Rule of Dempster-Shafer Theory for Correlative Evidence

Ping Wang
The thesis puts forward an improvement method for the combining rule of Dempster-Shafer evidence theory based on the correlation between evidences. Different from D-S theory, the correlation coefficient between evidences is introduced; and varies with the evidence fusion. By decreasing the probability...
Proceedings Article

An Improved Caching Strategy for Training

Liang Zhou, Fen Xia, Yanwu Yang
Computational complexity is one of the most important issues while dealing with the training of Support Vector Machines(SVMs), which is done by solving corresponding linear constrained convex quadratic programming problems. The state-ofthe- art training of SVMs takes iterative decomposition strategies...
Proceedings Article

Optimization of DHMM Based on Chaotic Migration-Based GA for Chinese Signature Verification

Zhenhua Wu
In this paper, Genetic Algorithm (GA) is used to train the parameters of Discrete Hidden Markov Model (DHMM). To overcome the premature convergence in GA, a chaotic migration strategy is introduced to the pseudo parallel genetic algorithm to increase the diversity of population. Because the GA’s evolution...
Proceedings Article

Ordering Policy for Perishable Commodity Using Online Algorithm with Risk-Reward

This paper studied an ordering problem under non-stationary setting. It used the online algorithm with risk-reward that is a combination of probability analysis and classical online algorithm. We obtained an online risk base stock policy whose risk was restricted to a tolerance level by designing online...
Proceedings Article

A Knowledge Based Recommender System with Multigranular Linguistic Information

L. Martinez, Manuel J. Barranco, Luis G. Perez, Macarena Espinilla
Recommender Systems are applications that have emerged in the e-commerce area
Proceedings Article

Sensory Evaluation Model with Unbalanced Linguistic Information

Luis Martínez, Macarena Espinilla, Luis G. Pérez
The evaluation processes are used for quality inspection, marketing and other fields in industrial companies. This contribution focuses in sensory evaluation where the evaluated items are assessed according to the knowledge acquired via human senses by a panel of experts. In these evaluation processes...
Proceedings Article

Using XCS as a Prediction Engine in Data Compression

Mohsen Sharifi, Amir Aavani, Shahab Tasharrofi
XCS has been used in several fields as a prediction engine before; its population based nature enables XCS to generate sets of properly pruned classification rules. Further, unlike other population based algorithms, it learns using rewards. These properties encouraged us to use it as a predictor engine...
Proceedings Article

An X-efficiency Analysis of Chinese Commercial Banks Based on Fuzzy DEA Model

Shuangjie Li, Dongsheng Zhai
In this paper the Fuzzy DEA Model was constructed. The model conducted an X-efficiency measure on Chinese Commercial Banks. At last Cause analyses and policy suggestions was given.
Proceedings Article

Improving Trained LS--SVM Performance with New Available Data

Yangguang Liu, Bin Xu, Jun Liu
Learning is obtaining an underlying rule by using training data sampled from the environment. In many practical situations in inductive learning algorithms, it is often expected to further improve the generalization capability after the learning process has been completed if new data are available. One...
Proceedings Article

Synchronization for Chaotic Systems with Different Structure and Unknown Parameters

Qingying Miao, Yang Tang, Suojun Lu, Jianan Fang
In this article, we demonstrate the problem of synchronization for a class of chaotic systems with different structure and unknown parameters. A nonlinear controller is developed. We estimate the parameters and construct the proper controller with these estimations. It is also found that this scheme...
Proceedings Article

Evaluation of the quality of attribute reductions obtained using rough set by margin criteria

Ming Yang, Xuqiang Qiu, Genlin Ji
As a filter model, rough set-based methods are one of effective attribute reduction(also called feature selection) that preserve the meaning of the features. In rough set theory, researchers mainly focus on extension of the classical rough set model(also called Pawlak model for short) and development...
Proceedings Article

The Fuzzy Lattice Order Decision-Making Method for Travel Mode Choice Based on The Travel Time Reliability

Liyuan Zhao, Wen Du, Guang Hao, Chengbing Li
When the citizens make traffic mode choice, the bus and taxi are always abandoned for long waiting time, especially during the peak time. In view of this, this paper defines the concept of the travel time budget and the reliability of travel time. A traffic mode choice is proposed, considering four factors:...
Proceedings Article

An Efficient System for Nonholonomic Mobile Robot-Path Planning

Xuefu Xiang, Jiye Zhang, Chenlong He
This paper presents a novel simple, but efficient robot path planning algorithm, which plans the obstacle-avoidance path according to map information, makes robots reach the target. In the paper, the actual environment is discretized into a topologically organized map consisting of targets, obstacles...
Proceedings Article

A new approach to blind separation of overdetermined mixtures

Jie Yang, Jiashu Zhang
Different from the general way to overdetermined blind source separation problem whose demixing matrix is a nonsquare one just as the mixing matrix, this paper proposed that using n (the number of sources) elements of the mixture signals as the new mixture signals to be separated, this means, the dexmixing...
Proceedings Article

Study about Logistics Service Project Evaluation Based on Information Granularity of Rough Sets

Jie Wu, Dun Liu, Qiyuan Peng
Logistics service project evaluation is a key step in project management. The evaluation tasks are not only covered by the whole project process, but also are perceived by characteristic of logistics service. According to project management’s hierarchical approach, we propose two evaluations in the theory...
Proceedings Article

SMEs Credit Rating Method with Heterogeneous Information: a Chinese Case

Dan Meng, Xu Yang
Enterprise credit rating is an important issue in finance field. Small and Medium Enterprises are playing more and more important role in world economy development. Especially, China SMEs has gained rapid development in recent years. However, financing difficulty is a predominant and common problem for...
Proceedings Article

Research on the Industrial Robot Control System Based on the Ontology and Web Service

Huili Xia, Yaohe Liu, Tingxin Song, Baohua Tan
In this paper we briefly present the concepts of ontology and Web Service, analyze the advantages that introduce them into robot control system, provide a remote control system of robot based on ontology and Web Service. This research constructs the Ontologies related with the control parameters of machine...
Proceedings Article

Predicting Short-time Traffic Flow Using Volterra Adaptive Model

Yumei Zhang, Shiru Qu, Kaige Wen
An adaptive method for predicting short-time traffic flow, which is based on phase space reconstruction and Volterra series, was proposed. We first employed Lyapunav exponent method based small data sets to validate that chaos exists in traffic flow. Then, phase space reconstruction for traffic flow...
Proceedings Article

The Simulation of Diode Based on PSO Algorithm

Guofeng Pan, Ke wen Xia, Na ying Xu, Fan Yang, Rui xia Yang
It is very difficult to solve the large-scaled in the semiconductor device simulation, sparse and ill-conditioned matrix equation exactly and quickly. So the particle swarm optimization algorithm(PSO) based on the swarm intelligent technology is presented to get the global optimal solution of the matrix...
Proceedings Article

Image Feature Extraction based on Pulse coupled neural Networks for Seafloor sediment classification

Chenchen Liu, Zhimeng Zhang
For the reason of different images with different space distribution of gray levels, we proposed a texture representation based on simplified pulse coupled neural networks (PCNN) model which output a series of binary images corresponding to different gray levels. Then we transformed the images into 1D...
Proceedings Article

A two-stage rule base optimization method based on combination of classical algorithm and GA for intelligent decision support system

Hong-qin Wei
Intelligent decision support system performance depends on knowledge base quality. With the decision problem and knowledge base becoming more complicated, it is necessary to provide effective method to optimize the management of knowledge base. Based on detailed analyzing of running characteristics and...
Proceedings Article

Map Matching Algorithm and Its Application

Lianxia Xi, Quan Liu, Minghua Li, Zhong Liu
Map matching is a technique combining electronic map with locating information to obtain the real position of vehicles in a road network.This paper provides an overview on the map matching technique and its applications,and discusses some typical algorithms with experiments analysis.
Proceedings Article

Approaches to Attributes Reduction Based on Ant Colony Optimization

Honghua Chen, Zheng Pei, Li Zhang
As we known, ants are blind and single ant’s capacity is limited. But researchers have studied that ant colonies have egregious ability to search shorter path which loads between their nests and foods. Inspired from this and based on ant colony optimization(ACO), we propose a new approach about attributes...
Proceedings Article

A Method for Interval-valued Intuitionistic Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information

Guiwu Wei, Wende Yi
With respect to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information, some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. An optimization...
Proceedings Article

Emotion Feature Selection from Physiological Signal Based on BPSO

Ruiqing Yang, Guangyuan Liu
In emotion recognition, many irrelevant and redundant features will affect recognition results, so feature selection is necessary. Aimed at emotion physiological signal feature selection, this paper proposed with improved discrete binary particle swarm optimization(BPSO) to increase the correct classification...
Proceedings Article

The bioinformatics analysis of hepatitis C virus E2 protein

Tailin Guo
By the methods of bioinformatics, the sequences of HCV E2 protein from all the genotypes are studied on the variation and the B-cell epitopes. We find that even in the HVR1 and HVR2 regions, there are also some conservative sites, such as T2, G6, G23, and Q26, all of which belong to polar R-base amino...
Proceedings Article

Study of Quantum genetic algorithm based on mutative scale chaotic optimization

Hao Teng, Baohua Zhao, Bingru Yang, Bin He
Aiming at the trouble of easy getting into local minimum in quantum genetic algorithm, this paper presents a new hybrid quantum genetic algorithm. Using the method of mutative scale chaos optimization strategy, chaotic search for optimization is implemented to the colony which has been processed one...
Proceedings Article

Lag correlation analysis based on Boolean presentation over multiple data streams

Dejun Yue, Tiancheng Zhang, Ge Yu, Yu Gu
Correlation analysis is a basic problem in the field of data stream mining. Traditional method is not suitable for real time processing with huge amount of stream data. We propose a new method based on Boolean representation for lag correlation analysis among multiple data streams. The raw stream sequence...
Proceedings Article

Decision Templates Ensemble and Diversity Analysis for Segment-Based Speech Emotion Recognition

Fukun Bi, Jian Yang, Ying Yu, Dan Xu
In this paper, we propose a novel scheme for speech emotion recognition, which uses decision-templates ensemble algorithm (DT) to combine base classifiers built on segment-level feature sets. Different feature sets from segments can provide sufficient diversity among base classifiers, which is known...
Proceedings Article

Exponential Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Continuously Distributed Delays

Yonggui Kao, Qinghe Ming
A class of Cohen-Grossberg neural networks with distributed delays are considered. By using the coincidence degree theorem and differential inequality techniques, sufficient conditions for the existence and exponential stability of the periodic solutions are established, Without assuming the boundedness,...
Proceedings Article

A Modified Ant Algorithm for Solving the Vehicle Routing Problem

Chengming Qi
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization problems. In this paper, through an analysis of the constructive procedure of the solution in the Ant Colony System (ACS), a modified algorithm for solving Vehicle Routing Problem (VRP), based on the ACS Hybridized...
Proceedings Article

Computing Concept Lattices with Clustering Approaches

Lishi Zhang, Dehong Wang, Xiaodong Liu
In this paper, cluster analysis based on distance function [1] is investigated, then a clustering algorithm is created for the objects in formal concept context, analysis is a field of applied mathematics based on mathematical analysis of concept and conceptual hierarchy, under this clustering, we only...
Proceedings Article

Text Categorization Based on a Similarity Approach

Cha Yang, Jun Wen
Text classification can efficiently enhance the text processing capability by automatically sorting out them according to defined collection of categories. This paper uses TFIDF method to represent documents, and set the NGramSize value to be 6. Word Frequency vector is used to measure and distinguish...
Proceedings Article

A research on the purchase quantity allocation between contract market and power auction market

Haihuan Wang, Bin Zou
In an open electricity market, electricity purchasers will trade in two different ways of marketing. Contract and power auction market, a typical decision-making issue is how to determine purchasing proportion of two markets to reduce purchase expenses and avoid risks. Based on chance constrained programming,...
Proceedings Article

Implementation of High-volume Reliable Intelligence E-business

Zhou Zhong, Jun Wen
E-business intelligence and reliability are the crucial step for companies’ huge volume data processing. This paper presents a transaction middleware and web server working together supported by business intelligence mechanism, which can get a reliable scaleable plug-in based system. The efficiency of...
Proceedings Article

A Hybrid Algorithm Based on PSO and GA to Dynamic Virtual Holon Mechanism and Negotiation Model

Fuqing Zhao
Nowadays, the change of marketplace require manufacturing system to diversify from mass customization style to step-mass customization style, thus lead to the manufacturing value orientation change from product oriented to custom oriented, main manufacturing strategy change from cost, quality etc. to...
Proceedings Article

An Automatic Identification Algorithm of Forest Fire Based on Visible Light?

Aijun Xu, Luming FANG, Zile TANG
In RGB space, the paper optimizes the algorithm of median filter. Not only it could keep its original filter capability, but also it makes the quantity of algorithm decrease greatly. The paper puts forward a standard to identify fire based on the fire edge wobbling-sharp features standard. There are...
Proceedings Article

Transient Stability Assessment of Power System Based on Support Vector Machine

Shengyong Ye, Yongkang Zheng, Qingquan Qian
Machine learning methods are promising tools to transient stability assessment (TSA) of power system. Support vector machine (SVM) is used to assess the transient stability of power system after faults occur on transmission lines. Single machine attributes were studied as inputs of the SVM classifier....
Proceedings Article

The New Methods of Improving Smooth Degree of Modeling Data Series

Qiuping Wang, Jun Zhang
Improving the smooth degree of modeling data series is key factor of grey model’s precision. According to function transformation theory and grey system modeling theory, elementary study on GM(1,1) model based on function ransformation is given, and the methods of linear function transformation and compound...
Proceedings Article

A Method for Solving Group Linguistic Decision-Making Problems Based on IOWA

Nini Duan, Zheng Pei, Li Qin
In this paper, we will provide a method for solving group decision-making problems based on IOWA operators. In which, linguistic assessments of decision makers could be selected freely, i.e., let S={s1, s2, ..., sn} be basic linguistic assessments, decision maker could select his (or her) linguistic...
Proceedings Article

Algorithm Study Based on Rough Entropy for Gene Analysis and Selection

Jia-yang Wang, Zu-jian Wu
Gene expression data has been used to analyse and classify disease in resent years. Combining the attribute importance in Rough Sets Theory and entropy in Information Theory, this paper introduces the study of the gene analysis and selection method. A novel algorithm, called RMSME, is proposed to use...
Proceedings Article

An Ensemble Method for Multi-class and Multi-label Text Categorization

Bo-Feng Zhang, Xin Xu, Jinshu Su
A method for multi-class and multi-label automated text categorization based on twin-SVM with naïve Bayes ensemble is proposed. Twin-SVM classifiers give a solution to the multi-label problem. For multi-class situation, naïve Bayes classifier constrains the belonging scope of a testing sample within...
Proceedings Article

A Method for Aggregating Linguistic Preference Relations Based on IOWA

Li Qin, Zheng Pei, Nini Duan
IOWA operator, which is proposed by Yager, et al, has been used in many fields. In the paper, we deal with group linguistic assessments decision-making problems based on IOWA. Firstly, in the homogeneous, the higher the consistence degree of experts is, the higher the weights of linguistic assessments...
Proceedings Article

A Data Cleaning Method Based on Association Rules

Weijie Wei, Mingwei Zhang, Bin Zhang, Xiaochun Tang
The quality of the data affects the usability of the data mining’s results. Making a data preparation before the mining can improve the quality. If the data are collected from the multi-data source, data preparation becomes very difficult. In this paper, a data-cleaning method based on the association...
Proceedings Article

Associative data mining for alarm groupings in chemical processes

Savo Kordic, Peng Lam, Jitian Xiao, Huaizhong Li
Complex industrial processes such as nuclear power plants, chemical plants and petroleum refineries are usually equipped with alarm systems capable of monitoring thousands of process variables and generating tens of thousands of alarms which are used as mechanisms for alerting operators to take actions...
Proceedings Article

Algorithm of Marriage in Honey Bees Optimization Based on the Nelder-Mead Method

Chenguang Yang, Jie Chen, Xuyan Tu
Marriage in Honey Bees Optimization (MBO) is a swarm-intelligence method. To improve its optimization performance, the Nelder-Mead method is used combined with MBO. The paper proposed an improved Marriage in Honey Bees Optimization algorithm. The local characteristic is obtained by Nelder-Mead Method...
Proceedings Article

A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution

Qin Liao, Wangyu Chen
This paper takes integrated optimization of Material Requirements Planning (MRP) and Capacity Requirements Planning (CRP) as research intention, builds a novel multi-objective optimization algorithm of MRP and CRP based on genetic evolution, and designs the proper genetic operators which take the integrated...
Proceedings Article

Formalizing interactive institution with RBA calculus

Guoyong Cai, Ji Gao, Junyan Qian, Lingzhong Zhao
Although organization oriented paradigm is a promising way to design dynamic interactive computational systems in open and heterogeneous networked environment, there is still lack of a suitable formal approach to support this paradigm. RBA, a boxed ambient calculus extended with separated regulating...
Proceedings Article

Traffic and Attack Pattern Analysis for Multiagent Distributed Intrusion Detection System

Grzegorz Kolaczek, Krzysztof Juszczyszyn
The paper proposes an attack pattern ontology and formal framework for network traffic anomalies detection within a distributed multiagent Intrusion Detection System (MUDIDS) architecture. The role of traffic anomalies detection is discussed then it has been clarified how some specific values characterizing...
Proceedings Article

A Forecasting Model of WCPO Katsuwonus Pelamis Purse Seine Catch Based on Rough-SVR

Yebo Yang, Hongchun Yuan, Ying Chen
Fishery prediction by using long-term accumulated hydrology elements and catch statistic data has been an urgent requirement in aquatic domain. In this paper, 18 different WCPO (Western and Central Pacific Ocean) hydrology elements were collected and a key influence element set was found by using Rough...
Proceedings Article

Study on the Method of Channel Siltation Recognition Based on SVM

Xun Zhang, Wenhai Xu, Lili Dong, Wenyan Tang
A method to recognize the channel siltation using support vector machine (SVM) was developed. The method was based on the system that the transducer arrays were laid out respectively on each side of the channel. Through the analysis of sonar signal acquired by data acquisition unit, the features to recognize...
Proceedings Article

Credit risk assessment based on rough set theory and fuzzy support vector machine

Jianguo Zhou, Jiming Tian
In this paper, a hybrid intelligent system, combining rough set approach and fuzzy support vector machine (FSVM), is applied to the study of credit risk assessment in commercial banks. We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios...
Proceedings Article

Control of Guide Disk speed of Rotary piercer

Dong Xiao, Xiaoli Pan, Yong Yuan, Zhizhong Mao, Fuli Wang
It has been a long harassment to seamless tubes production that its productivity will be largely affected by the pause caused in adjusting the craft parameters of piercer, the important equipment in the process. Aiming at the problem, a rebuilding method of Diescher guide disc is proposed. The on-line...
Proceedings Article

The Structured Analytical Technology of Video Information Management

Jun Zhou
When the information management system is carried into execution, the unstructured video data always cannot be organized properly. Traditional analytical method by handling large number of video shots cannot convey meaningful semantics. We divided the video into appropriate shots with the improved twin-comparison...
Proceedings Article

Improved Isomap Algorithm for Motion Analysis

Honggui Li, Xingguo Li
Euclidean distance, Hausdorff distance and SSP distance are discussed, and SSP distance is used for improved Isomap algorithm. Two methods are put forward for improving Isomap algorithm. One is aligning input data of original Isomap algorithm, the other is modifying Isomap algorithm itself. SSP distance...
Proceedings Article

Chaotic Analysis on Series of Groundwater Depth in Hetao Irrigation District

The chaotic behavior of groundwater depth time series is investigated using correlation dimension method and the CAO method based on the reconstruction of phase-space. A groundwater depth time series, each five days series of 25 years (with a total of 1793 values) observed in Hetao irrigation district...
Proceedings Article

A Hybrid Algorithm Based on Artificial Immune System and Hidden Markov Model for Multiple Sequence Alignment

Hongwei Ge, Weimin Zhong, Wenli Du, Feng Qian, Lu Wang
Multiple sequence alignment (MSA) has become an essential tool in the analysis of biologic sequences. In this paper, an artificial immune system (AIS) is proposed to train hidden Markov models (HMMs). Further, an integration algorithm based on the HMM and AIS for the MSA is constructed and a decoding...
Proceedings Article

Improved Genetic Fuzzy Clustering Algorithm Based on Serial Number Coding

Yong Zhou
In illustration to high computational complexity of the genetic algorithm-based FCM clustering algorithm, combining with traditional genetic algorithms and FCM algorithm, an improved GFCA algorithm with serial number coding is proposed in this paper. The simulations of two standard data sets for the...
Proceedings Article

Knowledge Discovery of Interesting Classification Rules Based on Adaptive Genetic Algorithm

Yong Zhou
Data classification is a very important point in Data Mining,but the existing classification algorithms always only discover the classification rules with high accuracy,and the research about interesting classification rules is few. So this paper proposed an algorithm to find the interesting classification...
Proceedings Article

Batch-to-batch control of batch processes based on multilayer recurrent fuzzy neural network

He Liu, Li Jia, Qing Liu, Dao Huang
The batch-to-batch model-based iterative optimal control strategy for batch processes is realized based on multilayer recurrent fuzzy neural network (MRFNN) and chaotic search. MRFNNs are used to model batch processes. Modeling and optimization problems are mainly solved by chaotic search. Due to model-plant...
Proceedings Article

The Optimization Study on Passenger Organization at Passenger Station Based on CAS

Wei Wang, Li Huang
The paper combines the passenger behavior with the decision of administrative department based on multi-agent simulation method of complex system theory, considering each advantage of CA and multi-agent, with the entrance of administrative departments and passenger behavior. In the passenger organization...
Proceedings Article

Towards a general fuzzy ontology and its construction

Huamao Gu, Hexin Lv, Ji Gao, Jinqin Shi
Most of the current fuzzy ontologies are too domain-specific and don’t support reasoning on fuzzy descriptions. By investigating the uncertainty information in the real world, we discover three widely existing general fuzzy relations. Based on such investigation and motivated by the desire to support...
Proceedings Article

Application of PSO Algorithm to Gearbox Fault Diagnosis

Hongxia Pan
After an introduction of the principle of particle swarm optimization (PSO) algorithm based on swarm intelligence, and of the modified version of the PSO algorithm, a neural network system for gearbox fault diagnosis has been established. After being trained by PSO algorithm, the neural network system...
Proceedings Article

Methodological Study of Government Resource Optimal Allocation and Control

Qin Liao, Jiabi Zheng, Zhonghua Tang
It’s a hot research issue to integrate information technology into the Government Resource Planning (GRP). The indices of current GRP system are just with expression of “investment” form which is disconnected with “output” form for control indices and “result” form for evaluation indices. Thus the current...
Proceedings Article

Probabilistic Reasoning of Inconsistent Belief in Protocol Analysis

Qingfeng Chen, Chengqi Zhang, Yi-Ping Phoebe Chen
Security protocols have been recently found with subtle flaws due to incomplete or ambiguous specification. Although formal methods have remarkably assisted in protocol analysis, they ignores the effect of hostile/uncertain environment, which might lead to inconsistent belief that can be held by principals...
Proceedings Article

Analyzing Brittleness of Complex System Based on the Catastrophe Theory

Jian Guo, Xing-lin Chen, Hong-zhang Jin, Dong-jian Wu
It is hard to set up catastrophe potential function by using conventional methods and choose control variables of catastrophe potential function. So the method of setting up potential function is given to analyze the brittleness of complex system by means of relations among systems. The feasibility of...
Proceedings Article

Automatic Feature Extraction of Pose-measuring System based on Geometric Invariants

Yan Lin, Kong Bin, Zheng Fei
This paper proposes a method for extracting features of target object automatically in a pose-measuring system. A tag stuck to the target object is designed to make the system more robust and precise. First, detect all the corners of an image. Then, geometric invariants, which are formed by several invariants...
Proceedings Article

Fast fault diagnosis expert system for rocket launch

Qingzhen Zhang, Wei Wang, Lihui Song, Zhang Ren
Nowadays, during rocket launch, the decision-making partly depend on the results of the rocket status inspection. But we know the fast and precisely detect and diagnose of rocket faults is a conflict problem in many cases of bulk information processing. In this paper three methods are proposed. First,...
Proceedings Article

A Hybrid of Artificial Fish Swarm Algorithm and Particle Swarm Optimization for Feedforward Neural Network Training

Huadong Chen, Shuzong Wang, Jingxi Li, Yunfan Li
A hybrid of artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO) is used to training feedforward neural network. After the two algorithms are introduced respectively, the hybrid algorithm based on the two is expressed. The hybrid not only has the artificial fish behaviors of swarm...
Proceedings Article

A Learning Behavioral Model of CGF

Xianquan Meng, Yingnan Zhao, Liguo Wang, Qing Xue
The Computer Generated Force (CGF) has decision ability by self-learning mechanism, which is an important research field in applying machine learning technology to military simulation. On the basis of modeling architecture of Agent and Learning Classifier Systems (LCSs) technologies, a learning behavioral...
Proceedings Article

Effects of Diverse Connecting Mechanisms on Knowledge Diffusion

Xiaorong Chen, Jin Ding, Haoyuan Zhou
In this paper, we first propose a computational model. Then on the basis of two virtual knowledge networks constructed, we investigate how diverse connecting mechanisms between network A and B differentially influence the co-evolution of the knowledge levels of both networks. The simulation results indicate...
Proceedings Article

A Heuristic Scheduling on Heterogeneous Tree Network

Kun Huang
This paper firstly discussed the problem of independent tasks scheduling on tree network, where resources have different speeds of computation and communication. And then analyzed the property of tree-shaped logical network topologies, presented an integer linear programming for this problem, and a heuristic...
Proceedings Article

Inclusion Measure and Similarity Measure of Intuitionistic and Interval-valued Fuzzy Sets

Hongying Zhang, Minggao Dong, Wenxiu Zhang, Xiaoxue Song
We begin the paper studying the axioms that the inclusion measure of an element in another element of a lattice and the similarity measure between two elements should satisfy. Next, we present a series of expressions of inclusion measures, ¯rst for intuitionistic values and then for intuitionistic fuzzy...
Proceedings Article

Fuzzy Guaranteed Cost Control for Uncertain Singular Systems with State and Input delays

Rui Yang, Tianmin Huang, Cuihong Wang
Based on T-S fuzzy model, the robust guaranteed cost control problem is studied for a class of uncertain singular systems with state and input delays. Sufficient conditions are provided for the construction of a state feedback guaranteed cost controller. These conditions are given in terms of the feasibility...
Proceedings Article

A Dispersive Degree based Clustering Algorithm Combined with Classification

Xianchao Zhang, Shimin Shan, Zhihang Yu, He Jiang
The various-density problem has become one of the focuses in density based clustering research. A novel dispersive degree based algorithm combined with classification, called CDDC, is presented in this paper to remove the hurdle. In CDDC, a sequence is established for depicting the data distribution,...
Proceedings Article

A Novel Particle Swarm Optimization Applied to Multi-flight Refueling Service Scheduling

Jianli Ding, Xinru Wang, Tao Xu, Weiqiang Liu
Optimization of multi-flight refueling service scheduling is very important for the recovery efficiency of flight delays. After analyzing the constraints and objective of multi-flight refueling service scheduling problem, a model is put forward. A novel particle swarm optimization is designed to solve...
Proceedings Article

A New Method for Constructing Radial Basis Function Neural Networks

Jinyan Sun, Xizhao Wang
Ignoring the samples far away from the training samples, our study team gives a new norm-based derivative process of localized generalization error boundary. Enlightened by the above research, this paper proposes a new method to construct radial basis function neural networks, which minimizes the sum...
Proceedings Article

Improving on Symbolic Learning System Based on Genetic Algorithm

Limei Feng, Xizhao Wang
This paper uses GAssist system to get symbolic rules and proposes four techniques to improve it. A new population initialization method is applied and fitness scaling is used to promote the population’s convergence. It also improves on the deserted hierarchical selection operator and combines it with...
Proceedings Article

On System Identification Based on Online Least Squares Support Vector Machine

Bin Liu, Zhiping Wang
System identification is a fundamental topic of control theory, and LS-SVM has been applied to system identification. An online training algorithm of LS-SVM for system identi cation is presented, which is suitable for the data set supplied in sequence rather than in batch. The online algorithm avoids...
Proceedings Article

Approximation Operators Based on L-Fuzzy Set-Valued Mappings

Zhengjiang Wu
In this paper, the fuzziness of Gomoli¶nska approximation space based on uncertainty mappings was introduced. It is proved that many approximation operators could be constructed by the composition of basic approximation operators.
Proceedings Article

A Sliding Mode Control Strategy for Uncertain Systems with Time Delay

Shaocheng. Qu
A robust sliding mode control (SMC) is presented for uncertain systems with a state-delay. Based on linear matrix inequalities (LMI), a delay-independent sufficient condition is developed for the design of a stable sliding mode plane in term of virtual state feedback controller. A simple controller is...
Proceedings Article

A Novel Active Pining Control for Synchronization of Uncertain Lü Chaotic Systems

Qu Shao-cheng
This paper discusses the synchronization of uncertain Lü chaotic systems. Based on the idea of active control, a novel active pining control strategy is presented, which only need a state of uncertain Lü chaotic systems. This controller can achieve synchronization between a salve system and a master...
Proceedings Article

Delay-Dependent Static Output Feedback Control for Singular Time-delay Systems

Cuihong Wang, Tianmin Huang, Rui Yang, Zhiyan Chang
This paper investigates the problem of static output feedback stabilization for a class of uncertain linear singular time-delay systems. Firstly, based on the stability criterion for the nominal singular time-delay system, a sufficient condition for the existence of the static output feedback controller...
Proceedings Article

Research on the Principle of Minimal Incompatibility for Fuzzy Reasoning

Lihua Fu, Huacan Hu
Based on the concept of incompatible factor, this paper introduces further the principle of minimal incompatibility, and use this principle to improve the triple I method. In addition, by the principles of maximal support and minimal incompatibility the solvings of the problems of Fuzzy Modus Ponens...
Proceedings Article

An Expert System for Workflow Procedure Optimization

Xiaoping Qiu, Xiaobing Li, Yang Xu
An expert system for workflow procedure optimization is proposed in this paper, in which the optimization method of the workflow procedure is presented with the workflow management system (abbr. WfMS). The running analysis of WfMS is the inputs of expert system, the optimization report and the regulation...
Proceedings Article

Ontology model and application for the CNC Integrated Detection

Libing Liu, Weidong Yang, Zeqing Yang
CNC integrated inspection is an important component for monitor and diagnosis in integrated manufacturing process, and is a pivotal step avoiding grave incidents timely and effectively. Combined with the methods used before in the CNC integrated inspecting plan, an improved domain ontology knowledge...
Proceedings Article

Multi-task Coalition Formation based on Task-group Structure

Chaofeng Lin, Shanli Hu, Shengfu Zheng, Shexiong Su
Coalition formation is an important manner of communication among agents in MAS. Some previous works only pay attention to forming a coalition for each task respectively, and the gross income of MAS may be not maximal. Thus, combination task called task-group is originally taken into account. In this...
Proceedings Article

Multivalued Adaptive Neuro-Fuzzy Controller for Robot Vehicle

Giuliani Paulineli Garbi
Robotic vehicle navigation in unstructured and uncertain environments is still a challenge. This paper presents the implementation of a multivalued neurofuzzy controller for autonomous ground vehicle (AGVs) in indoor environments. The control system consists of a hierarchy of mobile robot using multivalued...
Proceedings Article

Adaptive Image Steganography by Reversible Data Hiding

Guangjie Liu, Yuewei Dai, Zhiquan Wang, Lian Shiguo
An adaptive steganographic scheme is proposed in this paper. The adaptive quantization embedder is introduced and employed by block-wised fashion. We also constructed contrast-correlation distortion metric to optimally choose quantization steps for image blocks to guarantee more data being embedded in...
Proceedings Article

A Hierarchical Subpopulation Particle Swarm Optimization Algorithm

Chuan Lin, Quanyuan Feng
Based on the metaphor of specialization and cooperation in hierarchical social organization, a new particle swarm optimization (PSO) algorithm, hierarchical subpopulation PSO (HS-PSO), was proposed. In HS-PSO, the entire population is divided into several subpopulations which are arranged in a hierarchy....
Proceedings Article

A Majority-Based Aggregation Operator To Represent Emotional States

A.G. López-Herrera, Antonio G. Lopez-Herrera, Miguel A. Munoz, Maria I. Viedma-del-Jesus, Enrique Herrera-Viedma
The Self-Assessment Manikin (SAM) is an universally used instrument of pictographic non verbal measure which is used in many emotional studies in the field of the Psychology. In these emotional studies the usual aggregation operator is the classical mean. In this paper, a new aggregation operator is...
Proceedings Article

A Hybrid Approach For Spoken Language Machine Translation

Wenhan Chao, Zhoujun Li, Yuexin Chen
In this paper, we propose a hybrid approach, which is a statistical machine translation (SMT), while using an example-based decoder. In this way, it will solve efficiently the re-ordering problem in SMT and the problems for spoken language MT, such as lots of omissions, idioms etc. We present a novel...
Proceedings Article

The Design of the hydraulic model tests control system based on fuzzy self-adaptive PID algorithm

Xiafu Lv, Chen Yong, Zheng Yongping, Guo Xinglong
The hydraulic model is an important experiment system for studying the hydrological characteristic of river, lake and choosing the engineering project of port, dam and sea-route. The quality of the hydraulic model tests mainly lies on the measurement and control technology. This paper presents a hydraulic...
Proceedings Article

Research on Evolutionary Immune Mechanism in KDD

Yiqing Qin
In this paper, we introduce an evolutionary immune method to solve the problems from dynamic data mining. We first present a new concept to describe our specific problem domain. Then, we identify the evolutionary immune mechanism in KDD by illustrating how the elements involved in the domain could be...
Proceedings Article

The Customer Satisfaction Evaluation and Fuzzy Adaptive Control in the Supply Chain

Xiaobei Liang, Bingyong Tang
The satisfaction of ultimate customer can measure with four gross criteria in the supply chain, and can subdivide into ten sub-criteria. Customer satisfaction mainly performs from customer, so there is certain preference as a weight to each criterion. The weight is difficult to focus on one point, but...