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Tourism Information Navigation System Based on SoftMan
Yipeng Zhou,Junping Du,Yang Yang,Guangping Zeng,Xuyan Tu 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper provides a navigation system model and some critical implementation techniques. Softman is introduced into this system, and its migration model and strategy are all proposed, which can improve the Softman’s adaptability in complex network and host environment. A feature mapping and concept expansion method is also presented to describe the semantic of multimedia information and establish concept network using ontology. The implementation of tour planning on PDA demonstrates the validity of proposed methods.
Image Semantic Description and Automatic Semantic Annotation
Liang Meiyu,Du Junping,Jia Yingmin,Sun Zengqi 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Making the semantic description and automatic semantic annotation of the image which contains rich contents and intuitive expression is a research subject that is challenging. It is a key technology of realizing fast and effective image retrieval and a research focusing on cross media mining. Also it has great application value in various kinds of fields. This paper studies and discusses image media semantic description and automatic semantic annotation. By extracting SIFT visual features, we make the description of the image semantic, then establish the association between local image visual features and semantic keywords, and finally realize the image to the text feature mapping and the automatic semantic annotation. The simulation experiment result shows that this method can accomplish the image automatic semantic annotation efficiently, and also it can reach a higher accuracy.
Realization of GPS Information Real-time Marking System
Yan Zhiwei,Du Junping,Xu Feng 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Multimedia tourism intelligent navigation system requires that the third party identifies and displays the location of GPS information receiver. A comprehensive method is presented to realize a GPS information real time marking system by the use of GPS, GPRS and GIS technology. Information is received through the GPS module, GPRS network as a transmission channel, MAPXTREME control as graphics platform. This paper describes the structure of this system and how to realize its functions.
Study on Food Safety Emergencies Knowledge Acquisition and Representation on Ontology
Yang Yuehua,Du Junping,Sun Zengqi,Jia Yingmin 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
Study knowledge acquisition of food safety emergencies based on ontology, and use this method to acquire classes, properties, relations and axioms of food safety emergencies field; Study knowledge representation based on ontology, and on this basis construct a shared, reusable, extensible food safety emergencies domain ontology, and describe it in OWL form, hence form a set of relatively complete food safety emergencies knowledge acquisition and knowledge representation system, as is applied to the establishment of a food safety emergency knowledge base ,it can greatly improve the efficiency of knowledge search and knowledge reasoning.
Flow Based Clustering Algorithm for Tourism Search Engine
Liu Jie,Du Junping,Sun Zengqi,Jia Yingming 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper introduces a flow based clustering algorithm for tourism search engine. Unlike the general tourism search engines such as www.tripadvisor.com, www.qunar.com and www.kayak.com etc. to return the users’" queries huge amount of web page links, this algorithm helps the tourism search engine create a list of words which serve as suggestions to expand and update the users’" queries. It is much different from the previous clustering algorithms which cluster the results by the similar subjects. This algorithm clusters the search results by the inside vector distance representing each relationship between the web pages. In this manner, these representatives belong to different clusters merging into something like different flows. The experimental results indicate that the algorithm performs an unexpected usefulness for the users’" queries. Meanwhile, through the comparison with some often used algorithms and an online survey, it shows this algorithm has an accepted performance.
Study on Feature Dimension Reduction Method of Emergency Topic Model Based on Improved CHI and LSA
Liang Meiyu,Du Junping,Jia Yingmin,Sun Zengqi 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
According to some flaws in the existing feature dimension reduction methods, a new method of two-step combined feature dimension reduction based on improved CHI algorithm and LSA algorithm is proposed in this paper. First, apply the improved CHI algorithm to realize the initial feature selection, resolve the problem of high dimension and sparseness in the feature space to a certain extent, and then use the LSA algorithm to extract the semantic structures in the initial feature space, and map it into the semantic feature space and realize the second dimension reduction. Experimental results indicate that this method of feature dimension reduction has a better performance, further improving the effect of topic tracking.
Study on SNS Graph Generation and Prediction
Yang Yuehua,Du Junping,Jia Yingmin,Sun Zengqi 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
As the users of social network sites increases, the types of applications service social network sites provide are becoming more and more. This paper establishes an SNS graph generation model based on social services provided by kaixin.com, which describes the intrinsic relationship of entities (users, groups, applications, posts, and albums) in the site; extracts some rules according to the relationship of entities and applies these rules to the SNS graph generation, so the SNS graph can be updated dynamically with the selected social network site;Finally proposes an algorithm used to predict which applications may obtain more users in the future roughly based on SNS graph and according to the prediction results the social network site can adjust its website structure thereby absorbing more users.
Adaptive Multi-class Support Vector Machine for Microarray Classification and Gene Selection
Juntao Li,Yingmin Jia,Junping Du,Fashan Yu 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes an adaptive multi-classs upport vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading as parse multi-classifiers with enhanced interpretability. Based on a reasonablec orrelation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.
Online Adaptive Optimal Tracking Control of Nonholonomic Mobile Robot
Kai Wang,Yingmin Jia,Junping Du,Jun Zhang 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
A velocity control law is developed for the kinematic steering system of nonholonomic mobile robot to track a reference trajectory not only to make the posture error asymptotically stable but also considered optimality based on a pre-defined cost function. In order to make the cost function finite, we transformed the tracking problem into a regulation problem by redefining system states and inputs. The proposed online and forward-in-time policy iteration (PI) algorithm based on approximate dynamic programming (ADP) to solve the continuous-time(CT) optimal control problem with infinite horizon cost by solving of Hamilton-Jacobi-Bellman (HJB) equation. This method learns online in real-time to approximate the cost function by using a single neural networks (NNs), and then the near optimal control policy can be computed directly according to the cost function, which removes the action network appearing in the ordinary ADP methods. Simulation results are provided to demonstrate the effectiveness of the proposed approach.
Formation Control of Mobile Robots with Input Constraints
Xiaohan Chen,Yingmin Jia,Junping Du,Fashan Yu 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This paper considers the problem of formation control for mobile robots which are subject to input constraints. The control strategy based on virtual robot tracking is proposed, which leads to a compact controller form in terms of two feedback parameters by Lyapunov method. The introduced elliptic approximation of input constraints brings much convenience to obtain suitable feedback parameters. It is show that the presented sufficient condition guarantees the existence of feasible feedback parameters. Moreover, guidelines for the selection of feedback parameters are provided with geometric analysis. Simulation results verify the effectiveness of the proposed control strategy.