Short internet-based chat is typical of modern communication, especially for on-line game players. Improved chat tools are available to avatar agents in virtual space (e.g., Second Life) thanks to the fast-evolving 3D...
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We propose AVACHAT, a new comic-stylized communication interface for avatar agents. We show that the 3-D word balloon could be successfully exploited to depict chat dialogues and the atmosphere of groups talking, such...
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ISBN:
(纸本)9781595939517
We propose AVACHAT, a new comic-stylized communication interface for avatar agents. We show that the 3-D word balloon could be successfully exploited to depict chat dialogues and the atmosphere of groups talking, such as cheerful laughing or loud quarrelling without adding any multimedia functions. Finally, we propose a new data structure to manage the chat dialogues among virtual avatars. It can be used to reconstruct the social-graph for chat agents in a virtual world. Copyright 2008 ACM.
Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framew...
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Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framework of this biological assumption. However,in this paper,the search pattern of PSO is used to model the branch growth process of natural *** provides a different poten- tial manner from artificial *** illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a ncvel variant by emphasizing the influence of the *** this improvement,the population is divided into three different kinds of buds associated with their ***,a mutation strategy is applied to enhance the ability escaping from a local ***- ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.
GML has been a standard in geographical information area for enhancing the interoperability of various GIS systems for data mining. In order to share geography information based on GML, problems in application schema ...
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Question classification is an important step in a question answering system, the accuracy rate of question classification has great impact to a question answering system's following module. This paper proposed a q...
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Virtualization technologies are becoming more and more widely-used in the distributed computing area. In order to organize and manage various virtual machines in the SOA (Service-Oriented Architecture) environment mor...
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As we are moving along with emerging technologies the storage of data will no longer be in our conventional single dimensional raw data. The relational data can be further identified with spatial and non-spatial relat...
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ISBN:
(纸本)9780863418877
As we are moving along with emerging technologies the storage of data will no longer be in our conventional single dimensional raw data. The relational data can be further identified with spatial and non-spatial relationship. This is to examine whether clustering approach has any role to play in spatial data mining. This paper explains spatial clustering under statistical method of analysis for discovering the knowledge which is encapsulated in the spatial database. This study emphasis the spatial clustering approach accomplished through algorithms such as PAM and CLARA and let us to come across the limitations of PAM method. To the end, This work ushers that spatial data mining is a promising field, with fruitful research results and carries many challenging issues.
Extraction of features from images has been a goal of researchers since the early days of remote sensing. While significant progress has been made in several applications, much remains to be done in the area of accura...
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Digital airborne cameras play a significant role for aerial Photogrammetry development from analog to full-digital age. Because of the gap between digital sensor performance and Photogrammetry request, digital airborn...
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Due to the limited power supply, sensors have to switch between sleeping mode and awake mode at a low duty cycle to extend the network life-time. Therefore, when localizing a mobile node, it is possible that a seed no...
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Due to the limited power supply, sensors have to switch between sleeping mode and awake mode at a low duty cycle to extend the network life-time. Therefore, when localizing a mobile node, it is possible that a seed node is passed by the mobile node during its sleeping mode, so that the mobile node cannot collect enough seed information and fails to be localized consequently. In this paper, a dynamic sleep scheduling mechanism, namely P-SWIM is proposed. In P-SWIM, each seed is proactively notified if a mobile node is moving toward it, so that only these seeds should remain active in full duty when the mobile node passes by them, while the other seeds can still stay in the low duty cycle mode. P-SWIM can ensure enough seed connectivity around the mobile node, which is necessary for successful mobile localization. Simulation results indicate that localization algorithms based on P-SWIM can achieve better localization performance than those based on the other two sleep scheduling mechanisms, RIS and GAF. Moreover, P-SWIM causes least running overhead to the network overall power consumption among the three mechanisms, at most 47.6% and 60.2% less than RIS and GAF.
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