In this paper we present a general FEM (finite element method) solution that enables fast dynamic deformation simulation on the newly available GPU (graphics processing unit) hardware with compute unified device archi...
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In this paper we present a general FEM (finite element method) solution that enables fast dynamic deformation simulation on the newly available GPU (graphics processing unit) hardware with compute unified device architecture (CUDA) from NVIDIA. CUDA-enabled GPUs harness the power of 128 processors which allow data parallel computations. Compared to the previous GPGPU, it is significantly more flexible with a C language interface. We not only implement FEM deformation computation algorithms with CUDA but also analyze the performance in detail. Our test results indicate that the GPU with CUDA enables about 4 times speedup for FEM deformation computation on an Intel(R) Core 2 Quad 2.0 GHz machine with GeForce 8800 GTX.
We present a novel mobile memory aid tool, called ClickCatalog System (http://***/atreader/). In our daily lives, we find many interesting items during shopping, in exposition events, or in conferences. We often try t...
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ISBN:
(纸本)9781424409723
We present a novel mobile memory aid tool, called ClickCatalog System (http://***/atreader/). In our daily lives, we find many interesting items during shopping, in exposition events, or in conferences. We often try to remember them for later recall by writing memos, taking pictures, etc. Those hints (notes and pictures) are, however, easy to be lost. Using ClickCatalog System, users can collect digital records of the items with an easy-to-handle hardware called @reader, which embeds an RFID reader. After a day, they can recall the stored records using a viewer software. The viewer can be operated using the same device, @reader, by manipulating it on a paper calendar (to recall the records temporarily) or on a paper map (to do so geographically). This paper shows the prototype implementation of ClickCatalog System, a range of applications, and, our empirical study using prototype ClickCatalog System.
Audio classification is very important in audio indexing, analysis and content-based video retrieval. In this paper, we have proposed a clip-based support vector machine (SVM) approach to classify audio signals into s...
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Modern technologies have brought many innovations into the system of education. Learners now have an opportunity to educate with the help of electronic materials often provided by web-based infrastructures. Although t...
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Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The ordering of query results can have an en...
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ISBN:
(纸本)9780769528465
Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The ordering of query results can have an enormous impact on web traffic resulting business activity of an enterprise;hence businesses have a strong interest in having their web pages highly ranked in search engine results. This has led to attempts to artificially inflate page ranks by spamming the link structure of the web. Building an artificial condensed link structure called a "link farm" is one technique to influence a page ranking system, such as the popular PageRank algorithm. In this paper, we present an approach to remove the bias due to link farms from PageRank computation. We propose a method to first measure the PageRank weight accumulated by link farms, and then distribute the weight to other web pages by a modification of the transition matrix in the standard PageRank algorithm. We present results of a selected web graph that is manually spammed The results show that the proposed approach can effectively reduce the bias from link farms in PageRank computation.
The current status of agent research is that many researches are for a specific application domain and are lacking in generality, and it is hard to apply the framework of the existing research to other fields. It is t...
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We present a method for effective navigation in structure of large information spaces. The method employs incremental browsing of the information space structure and visualizes in every moment only specific part of th...
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ISBN:
(纸本)1595938206
We present a method for effective navigation in structure of large information spaces. The method employs incremental browsing of the information space structure and visualizes in every moment only specific part of the space (a window) where its content is selected adaptively according to evaluations of the presented entities. Entity evaluations are gained from interactions with entities (manual browsing of people or automatic browsing by applications). We describe proposed method in the context of ontology structure navigation.
Open information spaces have several unique characteristics such as their changeability, large size, complexity and diverse user base. These result in novel challenges during user navigation, information retrieval and...
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ISBN:
(纸本)1595936548
Open information spaces have several unique characteristics such as their changeability, large size, complexity and diverse user base. These result in novel challenges during user navigation, information retrieval and data visualization in open information *** propose a method of navigation in open information spaces based on an enhanced faceted browser with support for dynamic facet generation and adaptation based on user characteristics.
The research and development results of agent technology are awaited as the software solution with autonomy and social ability, which can provide the way to realize social activities on the Internet. However, the curr...
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In this paper we propose a framework for the creation of adaptive portal solutions for the Semantic Web. It supports different target domains in a single portal instance. We propose a platform envi- ronment where the ...
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In this paper we propose a framework for the creation of adaptive portal solutions for the Semantic Web. It supports different target domains in a single portal instance. We propose a platform envi- ronment where the ontology models and adaptivity are among first-class features. Adaptivity is supported by the personalized presentation layer that integrates software tools for automatic user characteristic acquisition. A significant contribution of the design lies in our method for automatic form building from the domain ontology and automated CRUD pattern support by object-ontology mapping. We evaluate the framework in two domains - online labor market and scientific publications.
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