Advances in Intelligent Systems Research

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16943 articles

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...

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...

Chaotic Analysis on Series of Groundwater Depth in Hetao Irrigation District

WEI-GUANG WANG
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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...

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....

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...

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...

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...

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...

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...

Global Learning of Neural Networks by Using Hybrid Optimization Algorithm

Yong-Hyun Cho, Seong-Jun Hong
This paper proposes a global learning of neural networks by hybrid optimization algorithm. The hybrid algorithm combines a stochastic approximation with a gradient descent. The stochastic approximation is first applied for estimating an approximation point inclined toward a global escaping from a local...

A granular computing approach to inducing rules in incomplete information systems

Haiyan Yu, Daoping Wang
Generally, two ways are used to handle null value in incomplete information systems. One is transforming an incomplete system to a complete system. The other is process the incomplete information table based on toleration relation. In this paper we propose a method to process the incomplete information...

An Algorithm for Fuzzy Concept Lattices Building with Application to Social Navigation

Chunzhi Xie, Liangzhong Yi, Yajun Du
Due to the fuzziness of information, fuzzy concept lattices (FCL) are proposed as effective tools for data analysis and knowledge discovery on the fuzzy formal context. But the mining of large database needs efficient algorithms for FCL building. In this paper, a fast and automatic algorithm for FCL...

An Improved Genetic Algorithm for Multidimensional

Li Zhou
This paper mainly studies on the valid solution algorithm for multidimensional assignment problem of data association, proposes a heuristic searching algorithm for multidimensional assignment problem on the basis of order-searching algorithm and m-best algorithm, and accordingly presents a heuristic...

EA DTW: Early Abandon to Accelerate Exactly Warping Matching of Time Series

Junkui Li, Yuanzhen Wang
Dynamic Time Warping(DTW) is one of the important distance measures in similarity search of time series, however, the exact calculation of DTW has become a bottleneck. We propose an approach, named Early Abandon DTW(EA_DTW) to accelerate the calculation of DTW. The method checks if value of cells in...

Automatic Drilling of PCBs Based on GA

Alireza MohammadniaOranj, Ahmad Khademzadeh, Aref Jalili Irani, Homayoon Ebrahimian
Automatic drills are widely used in the process of manufacturing printed circuit boards. After a circuit is designed using very advances softwares, the pins for different components and the nodes through which the layers are connected are rigorously drilled by an automatic drill. At the present paper,...

Towards Natural Image Denoising by Sparse Code Shrinkage: Improvements and Applications

Ying Yu, Jian Yang, Dan Xu
Sparse code shrinkage (SCS) has been proved to be a very promising method for natural image denoising, but it still has some drawbacks such as considerable complexity of computation and inevitable loss of image details. In this paper, we propose a new compensation operation and an improved shrinkage...

A hybrid neural network-fuzzy logic architecture for multisensor data fusion in target tracking system

Xiu Wang, Jian Rong, Xiaochun Zhong
In this work, a new multisensor data fusion architecture integrating neural network and fuzzy logic techniques is introduced, which has the ability of fast adjusting acceleration parameter and covariance of measurement noise of sensors. In this architecture, the neural network estimates acceleration...