In this paper we introduce an application layer for mobile devices that delivers knowledge sharing and remote collaboration to the end users. This layer is a part of a much wider knowledge sharing system called Intern...
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ISBN:
(纸本)9789537138189
In this paper we introduce an application layer for mobile devices that delivers knowledge sharing and remote collaboration to the end users. This layer is a part of a much wider knowledge sharing system called Internet Medical Consultant. Our main focus is on the user interface and data processing according to the mobility issues of the application. This will contribute to effective completion of application's main goal - quick, easy and intuitive reach of knowledge as well as manipulation with well defined and rich data content in the remote collaboration process.
This paper presents how using a correspondence-based interpolation scheme for 3D image registration improves the registration accuracy. The interpolator takes into account correspondences across slices, which is an ad...
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This paper presents how using a correspondence-based interpolation scheme for 3D image registration improves the registration accuracy. The interpolator takes into account correspondences across slices, which is an advantage, particularly when the volume has thick slices, and where anatomies lie non-parallel to the slice direction. We use our previously presented approach for correspondence-based interpolation and demonstrate results on two different datasets, brain and cardiac MRI. The results are evaluated (i) qualitatively by examination of gradient images and cardiac pig atlases and (ii) quantitatively by registering downsampled brain data using two different interpolators and subsequently applying the deformation fields to the original data. The results show that the interpolator provides better gradient images and a more sharp cardiac atlas. Moreover, it provides better deformation fields on downsampled data, increasing the registration accuracy of original data to 5.8% on average with respect to a standard interpolator.
Following the successful WCET Tool Challenges in 2006 and 2008, the third event in this series was organized in 2011, again with support from the ARTIST DESIGN Network of Excellence. Following the practice established...
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ISBN:
(纸本)9781632663153
Following the successful WCET Tool Challenges in 2006 and 2008, the third event in this series was organized in 2011, again with support from the ARTIST DESIGN Network of Excellence. Following the practice established in the previous Challenges, the WCET Tool Challenge 2011 (WCC'11) defined two kinds of problems to be solved by the Challenge participants with their tools, WCET problems, which ask for bounds on the execution time, and flow-analysis problems, which ask for bounds on the number of times certain parts of the code can be executed. The benchmarks to be used in WCC'11 were debie1, PapaBench, and an industrial-strength application from the automotive domain provided by Daimler. Two default execution platforms were suggested to the participants, the ARM7 as "simple target" and the MPC5553/5554 as a "complex target," but participants were free to use other platforms as well. Ten tools participated in WCC'11: aiT, Astrée, Bound-T, FORTAS, METAMOC, OTAWA, SWEET, TimeWeaver, TuBound and WCA.
The increasing popularity and influence of service-oriented computing give rise to the need of representational and methodological supports for the development and management of business services. From an IT perspecti...
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This study presents a novel hybrid intelligent system, which focuses on the optimisation of machine parameters for dental milling purposes. The basis of this approach is hybridizing two bio-inspired algorithms, as Neu...
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This study presents a novel hybrid intelligent system, which focuses on the optimisation of machine parameters for dental milling purposes. The basis of this approach is hybridizing two bio-inspired algorithms, as Neural Networks with Genetic Algorithms for choosing and modelling the feature subset that best descript the operation conditions. These operating conditions are given as parameters for a dental drill machine. The aim of this approach is twofold: a feature selection process is carried out while the modelling of the operating conditions is achieved. The reliability of the proposed novel hybrid system is validated with a real industrial use case, based on the optimisation of a high-precision machining centre with five axes for dental milling purposes.
We introduce a possibilistic mean value for interval-valued fuzzy numbers as the arithmetic mean of the possibilistic mean values of its upper and lower fuzzy numbers. Furthermore, we suggest a ranking method for inte...
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We introduce a possibilistic mean value for interval-valued fuzzy numbers as the arithmetic mean of the possibilistic mean values of its upper and lower fuzzy numbers. Furthermore, we suggest a ranking method for interval-valued fuzzy numbers based on their possibilistic mean value and show an application to capital budgeting decisions when the revenues from projects are represented by interval-valued trapezoidal fuzzy numbers.
Social networking has become a part of our life. We redundantly share our personal information with people in social networks and Internet. These networks allow users to share just about everything: data, photos, vide...
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One of the main issues in wireless sensor networks is energy efficiency. Most of the energy is used for wireless transmission. To reduce an amount of data being sent, if a particular compression algorithm is used, tha...
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ISBN:
(纸本)9789532900217
One of the main issues in wireless sensor networks is energy efficiency. Most of the energy is used for wireless transmission. To reduce an amount of data being sent, if a particular compression algorithm is used, than it can significantly reduce a power consumption and increase node's operating lifetime. Presented in this paper is a research, in which the possibility of use of IEEE 802.15.4 wireless sensor networks in electrocardiogram (ECG) monitoring applications is analyzed. ECG signal, measured from a patient heart, is in the first step compressed that uses Autoregressive (AR) predictive coding and then again, using Huffman's entropy coding. It has been studied, through the use of simulations, how reduction in data rate of compressed data will affect node's average power consumption. The results obtained from data compression of ECG signal show that sufficient energy saving can be achieved.
In 2009 the International Society for Computational Biology (ISCB) started to roll out regional bioinformatics conferences in Africa, Latin America and Asia. The open and competitive bid for the first meeting in Asia ...
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Digital Library is a way to represent, retrieval, and study Thai E-san culture heritages without directly accessing and touching. It may help to reduce a dilapidation of Thai E-san culture heritages. We commence our p...
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ISBN:
(纸本)9788988678275
Digital Library is a way to represent, retrieval, and study Thai E-san culture heritages without directly accessing and touching. It may help to reduce a dilapidation of Thai E-san culture heritages. We commence our project with organizing a collection of images through classification technique. Therefore, this work is motivated by two main drivers. Firstly, we aim to apply an alternative dimension of CBIR to classify a collection of Thai E-san heritage images into two classes: the class of heritage images which involve human activities, and the class of heritage images with non-human activities (e.g. images of ancient remains and antiques). Secondly, we also propose a new method of images classification. It is to apply Naive Bayes to produce image classifier based on edge histogram features. This approach is valuable for the automatically classifying heritage images, where it is a time-consuIning and labour-intensive process if it is done by manual classification. After testing, the experimental results show an effective accuracy. This would demonstrate that our approach is sufficiently reliable for use.
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