Most Web browsers are designed for visual interaction, which receive input and render webpage content via a graphical and visual *** people with visual disabilities,access to the Web is very *** this paper,we propose ...
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Most Web browsers are designed for visual interaction, which receive input and render webpage content via a graphical and visual *** people with visual disabilities,access to the Web is very *** this paper,we propose a new scheme of non-visual browser,which is referred to as Multi-Channel Speech Pushing System(MCSPS).The system can support browsing from both PC client and telephone users,avoiding construction of two individual ***,by web page content and structure analysis and reorganization,the system can help user locate desired information efficiently. Compared with current non-visual browsers,the proposed system performs deeper and more thorough analysis and reorganization of web pages,thus resulting in higher efficiency in browsing.
For reducing the complexity,improving the reusability and shorten the composition period,the service composition process is proposed to be divided into service template composition based on functional planning and the...
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For reducing the complexity,improving the reusability and shorten the composition period,the service composition process is proposed to be divided into service template composition based on functional planning and the service template implementation based on QoS ***,this paper analyzes the driving factors for application in the service composition and service composition *** addition,the service template composition algorithm and the recommended algorithm for the optimal template are also *** last,an experiment is carried out to verify the feasibility of this method.
A new method of optimal viewpoint selection for volume rendering based on shuffled frog leaping algorithm is *** the opacity,luminance and structure features of the projected views of three-dimensional volume datasets...
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A new method of optimal viewpoint selection for volume rendering based on shuffled frog leaping algorithm is *** the opacity,luminance and structure features of the projected views of three-dimensional volume datasets,a viewpoint evaluation function is constructed to identify the importance of voxels and the structural information within the volume *** with this function,shuffled frog leaping algorithm is used to optimize the computation process,so as to acquire an optimal viewpoint or a series of optimizational *** experimental results show this method can not only focus the important structure and the region of interest within the volume data more effectively,but also improve the convergence rate and accuracy,while having a standout performance to select a global optimal viewpoint,thus can be used to guide the direct volume rendering for large scale volume datasets.
Without considering the membership feature of each sampling point,both the local fuzzy recursive least-squares (FRLS) and the global FRLS algorithm cannot get an ideal online estimation precision of a Takagi-Sugeno(TS...
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Without considering the membership feature of each sampling point,both the local fuzzy recursive least-squares (FRLS) and the global FRLS algorithm cannot get an ideal online estimation precision of a Takagi-Sugeno(TS) fuzzy *** paper proposes a novel mixed FRLS(MFRLS) algorithm for solving the *** dynamically makes a multiobjective cost function by weighting the local estimation and global estimation on the membership feature of the sampling point at each updating *** the mixed co-variance matrix of the local and global estimation is deduced by solving the multiobjective optimization *** on the mixed co-variance matrix,a set of MFRLS formula is obtained by further analytical *** simulation experiments on a time-varying nonlinear model have proved the advantages of MFRLS.
in this paper we focus on finding a best semantic alignment between two *** model it as a bipartite weighted matching,and it can be solved in polynomial time by using combinational optimization *** on this alignment w...
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in this paper we focus on finding a best semantic alignment between two *** model it as a bipartite weighted matching,and it can be solved in polynomial time by using combinational optimization *** on this alignment we integrated several methods to perform recognizing textural entailment(RTE).Finally,we implement our method on to RTEl Test *** result shows that word alignment based RTE has a good performance.
Abstract-To tackle the Kalman filter's performance degradation caused by unknown process uncertainties,the author proposes an approach of using strong Kalman filter to effectively implement the precise video track...
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Abstract-To tackle the Kalman filter's performance degradation caused by unknown process uncertainties,the author proposes an approach of using strong Kalman filter to effectively implement the precise video tracking for the target with high *** on-line calculated time-variant recession matrix is induced into the predicted estimate error covariance matrix to adjust the Kalman gain,making the gain self-adaptively suit to the innovation sequence,thus resulting in better filtering *** strong Kalman filter is enhanced with time-variant recession matrix improved in this *** proposed scheme is put to test suggesting that the enhanced strong Kalman filter is capable of tracking the fast mobile target with higher precision than generic Kalman filter.
This paper presents a novel approach based on variable forgetting,which is a useful tool in resolving contradictory by filtering some given variables,to merging multiple knowledge *** paper first builds a relationship...
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This paper presents a novel approach based on variable forgetting,which is a useful tool in resolving contradictory by filtering some given variables,to merging multiple knowledge *** paper first builds a relationship between belief merging and variable forgetting by using *** forgetting is applied to capture belief merging ***,some new merging operators are developed by modifying candidate variables to amend the shortage of traditional merging operators. Different from model selection of traditional merging operators, as an alternative approach,variable selection in those new operators could provide intuitive information about an atom variable among whole knowledge bases.
Password based authentication with smart cards has been adopted as a more secure means in insecure networks to validate the legitimacy of *** authentication schemes are based on the tamper-resistant smart card;that is...
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Password based authentication with smart cards has been adopted as a more secure means in insecure networks to validate the legitimacy of *** authentication schemes are based on the tamper-resistant smart card;that is, the data stored in the smart card cannot be ***,it is a challenging problem for considering non-tamper-resistant smart cards used in user *** recently,in 2010, Song proposed an efficient authentication scheme with such nontamper resistant smart cards based on symmetric key cryptosystems as well as modular *** this paper,we will show that Song's scheme is vulnerable to the offline password guessing attack and the insider ***,this scheme does not provide perfect forward secrecy and does not preserve user anonymity.
A methodology for content filtering based on ontology similarity is presented,which uses Domain Ontology to describe the characteristic of knowledge of a specific *** analyzing the context of the Word of Concern(WoC),...
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A methodology for content filtering based on ontology similarity is presented,which uses Domain Ontology to describe the characteristic of knowledge of a specific *** analyzing the context of the Word of Concern(WoC),the justifiability and accuracy of filter is ***,a content ontology based on Domain Ontology is defined,including WoCs and their context constrain ***,the concepts of WoC similarity and context similarity are given and the definition of similarity fuzzy set is ***,a content filtering mechanism based on ontology similarity is designed to prove the feasibility of the methodology.
With the rapid development of new media,such as computer and Internet,extract valuable entity attribute information from Web text can be *** at this problem,this paper puts forward SALmap,this model calls seed method ...
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With the rapid development of new media,such as computer and Internet,extract valuable entity attribute information from Web text can be *** at this problem,this paper puts forward SALmap,this model calls seed method at first,which will create common candidate attribute label sets by defining data format *** we construct the mapping relationship between the attributes and the labels using attribute value information and the maximum entropy model, and label the entity instance as ***,hidden Markov model is applied to the relevant entity attribute extraction. Experiments prove SALmap model can significantly improve the precision and performance of entity attribute extraction.
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