Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Session: Intelligent Infomation Processing
23 articles
Proceedings Article
Analysis of Network Effect in Port and Shipping System characterized by scale-free network
Wei Tian, Gui-shi Deng, Pei-jian Wu
Based on the brief summarization of the development, properties and representative research achievements of scale-free networks, the article makes an empirical analysis in some complex network characteristics of global shipping lines network. Taking port as dominant products, and shipping service, its...
Proceedings Article
Fuzzy Ontology Model for Knowledge Management
Jun Zhai
Ontology is the basis of sharing and reusing knowledge on the semantic web. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. Current fuzzy ontology models do not focus on essential semantic relationships between fuzzy concepts, which lead difficulty in ontology...
Proceedings Article
Construct Offline and Online Membership Functions Based on SVM for Classification
Xiangsheng Rong, Ping Ling
The classification algorithm presented in this paper consists of Offline and Online Membership Functions, named as OOMF. They cooperated with each other to provide qualified class label of confidence. The offline membership function is derived from decision functions yielded by a weighted SVMs approach...
Proceedings Article
Texture Image Segmentation Using Without Re-initialization Geodesic Active Contour Model
Kaibin Wang, Bianzhang Yu
A novel method of texture image segmentation is proposed, which has three advantages compared to other active contours. First, by combining the gray levels of pixels and texture information of an image, this method can be used for segmentation of a texture image or a non-texture image. Second, the method...
Proceedings Article
Design and implementation of a cache-based granular computing system
Xiaoxia Huang, Lun Cheng
This paper presents a multilayer cache-based attribute granular computing system. It can be used to implement algorithms based on attribute granular computing. After defining an attribute granule, it brings forward an operation and storage model. Six basic mapping operations and three suitable storage...
Proceedings Article
Research on Global Path Planning in the Marine Environment for AUV
Rubo Zhang, Xu Chunhui, Zhang Ziying, Xu Dong
This paper presents a saving energy consumption approach to the AUV global path planning based GA. The AUV works in the large-scale marine environments and the energy consumption is a big problem when the AUV is working. Ocean current is a main factor that impacts AUV’s navigation. We consider ocean...
Proceedings Article
OBJECTED-ORIENTED ANALYSIS IN THE APPLICATION OF SIMULATIVE TRANSFORMER SUBSTATION SYSTEM
Jiang Jiang
As more challenging applications are automated, cooperative problem solving will be an important paradigm for the next generation of industrial intelligent systems. One of the key problems to use it in engineering domain is development of a structured design method. In this paper, an evolutionary, seamless,...
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
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
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
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
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
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
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...
Proceedings Article
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...
Proceedings Article
Hierarchical Visualization of Multidimensional Data
Xiangzhi He, Lan Shu
Visualization of multidimensional data has been studied for a few decades and is still hot today. However, the proposed approaches have limitations when they meet multidimensional data. Hierarchical approach put forward in this paper is utilized to represent multidimensional data in multi-levels. First,...
Proceedings Article
A Quantitative Analysis for Inter-individual Knowledge Transferring Obstacle
Dehai Liu, Weiguo Wang
This paper puts forward a quantitative analysis method measuring inter-individual knowledge transferring obstacle based on evolutionary game theory. According to economic exchange theory, the key influencing factors on the inter-individual knowledge transfer include the expected incomes and transfer...
Proceedings Article
Connotation Searching Method for Paper Retrieval System Based On Fuzzy Rules
Hailiang Zhao, Yue Ma
In this paper, an overall framework on paper retrieval system based on paper’s connotation is proposed. Paper database is sorted into four ranks. Each of them is mainly described by an extended keyword set, which is served as the carrier of the precise connotation of a paper. Based on the matching degree...
Proceedings Article
An Semantic Rank for Web Crawler Based on Formal Concept Analysis
Yajun Du, Xinchun Li
Web Crawler is an important research in Search Engine. In this paper, a method for measuring the similarity of FCA concepts is proposed by using information content approach based on user Web log. In process of crawling Web pages for Web Crawler, in order to make choice of Web pages, the semantic rank...
Proceedings Article
Application of fuzzy query based on relation database
Dongmei Wei, Liangzhong Yi, Zheng Pei
The traditional query in relation database is unable to satisfy the needs for dealing with fuzzy linguistic values. In this paper, a new data query technique combined fuzzy theory and SQL is provided, and the query can be implemented for fuzzy linguistic values query via a interface to Microsoft Visual...
Proceedings Article
A Method of Personalized Web Search Result Clustering Based on Formal Concept Analysis
Jing Wang, Yajun Du
Most existing Web search result clustering techniques, generally anchoring in pure content-based analysis, generate a single set of clusters for all individuals without tailoring to individuals’ preferences and thus are unable to support personalization. In this paper, we incorporate a target user’s...