WISER is a series of international workshops that focus on identifying and transferring techniques from other disciplines that might usefully be applied to software engineering research and practice. The workshops add...
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ISBN:
(纸本)159593409X
WISER is a series of international workshops that focus on identifying and transferring techniques from other disciplines that might usefully be applied to software engineering research and practice. The workshops address this topic through presentations and discussions of both actual case studies and of ways in which potentially useful approaches can be identified, adapted and adopted within software engineering. The papers in the proceedings address topics ranging from a general approach to identifying domains that have similar experimental practices to software engineering to specific case studies of the application of techniques from, for example, graph theory, strategic planning, economics and social and cognitive theory.
As the number of public displays in the environment increases, new opportunities open up to improve situated interaction and to enable new kinds of applications. In order to make distributed display resources availabl...
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ISBN:
(纸本)1595933905
As the number of public displays in the environment increases, new opportunities open up to improve situated interaction and to enable new kinds of applications. In order to make distributed display resources available to nomadic users, a key issue to address is how control can be dynamically shared between display users. It is important to study how control over a shared display can be acquired, released or shared by nomadic and residential users given their competing demands for display resources. In this paper, we present a system and a user study investigating these issues in the context of two applications both competing for display resources provided by a deployment of interactive office doorplates. The first application (Hermes II) provides situated note leaving and messaging services whereas the second one (GAUDI) supports user navigating a university department. Office occupants (i. e. residential users) can control whether the navigation application may (temporarily) use their doorplate display (thus giving priority to the navigation needs of nomadic users to the department). We report on findings from a user study, and discuss interface design implications for specifying display control.
We propose a novel framework for the classification of single trial ElectroEncephaloGraphy (EEG), based on regularized logistic regression. Framed in this robust statistical framework no prior feature extraction or ou...
We propose a novel framework for the classification of single trial ElectroEncephaloGraphy (EEG), based on regularized logistic regression. Framed in this robust statistical framework no prior feature extraction or outlier removal is required. We present two variations of parameterizing the regression function: (a) with a full rank symmetric matrix coefficient and (b) as a difference of two rank=1 matrices. In the first case, the problem is convex and the logistic regression is optimal under a generative model. The latter case is shown to be related to the Common Spatial Pattern (CSP) algorithm, which is a popular technique in Brain computer Interfacing. The regression coefficients can also be topographically mapped onto the scalp similarly to CSP projections, which allows neuro-physiological interpretation. Simulations on 162 BCI datasets demonstrate that classification accuracy and robustness compares favorably against conventional CSP based classifiers.
Component-based software development is a development approach which aims to reduce development costs and increase software reliability. With component-based development, often new program is created quickly by reusin...
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Component-based software development is a development approach which aims to reduce development costs and increase software reliability. With component-based development, often new program is created quickly by reusing components in binary form that have been developed by third parties, without access to the source code of those components. In order to maintain such program on an on-going basis, it is important to be able to visualize the overall structure and behavior of the program. However, because existing program visualization systems need to analyze the program source code, it has been difficult to apply them to program that incorporates components in binary form. In this paper, we propose a program visualization system which does not make use of the source code, but uses two techniques, reflection and byte-code analysis, to measure the functional size of each component and to determine the dependency relationships among components and helper classes. These results are used to provide an accurate visualization of the overall structure of the component-based program. Our system can be applied to programs built with JavaBeans components. As a result of comparative evaluations, it is found that our system is useful for visualizing binary component-based program structure with component functional size to support maintenance activities.
We propose an algorithm for the classification of fluorescence microscopy images depicting the spatial distribution of proteins within the cell. The problem is at the forefront of the current trend in biology towards ...
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We propose an algorithm for the classification of fluorescence microscopy images depicting the spatial distribution of proteins within the cell. The problem is at the forefront of the current trend in biology towards understanding the role and function of all proteins. The importance of protein subcellular location was pointed out by Murphy, whose group produced the first automated system for classification of images depicting these locations, based on diverse feature sets and combinations of classifiers. With the addition of the simplest multiresolution features, the same group obtained the highest reported accuracy of 91.5% for the denoised 2D HeLa data set. Here, we aim to improve upon that system by adding the true power of multiresolution adaptivity. In the process, we build a system able to work with any feature sets and any classifiers, which we denote as a generic classification system (GCS). Our system consists of multiresolution (MR) decomposition in the front, followed by feature computation and classification in each subband, yielding local decisions. This is followed by the crucial step of combining all those local decisions into a global one, while at the same time ensuring that the resulting system does no worse than a no-decomposition one. On a nondenoised data set and a much smaller number of features (a combination of texture and Zernicke moment features) and a neural network classifier, we obtain a high accuracy of 89.8%, effectively proving that the space-frequency localized information in the subbands adds to the discriminative power of the system
An architecture integrating Grid applications with a Catallactic middleware, which can be applied to computational and data grids to host the dynamic interrelated resource and service markets, is discussed. The layere...
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An architecture integrating Grid applications with a Catallactic middleware, which can be applied to computational and data grids to host the dynamic interrelated resource and service markets, is discussed. The layered middleware architecture provides a clear separation of concern among five layers, in which the catallactic middleware comprising economic algorithms, economic framework, and peer agent layers is sandwitched between the application layer and the base platform. Applications interact with Grid market middleware to obtain the necessary services to fulfill a particular function, while the base platform supports the applications that provide the Grid services' hosting environment. Economics algorithms layer implements domain-and platform-independent economics algorithms for resource allocation, economic framework layer furnish the primitives to support catallactic algorithm implementation, and peer agent layer is responsible for interfacing with the underlying platform.
A new frameless registration of 2D/3D images based on external markers was presented. In this method, a reference coordinate system (RCS) is constructed, the relation of the coordinate of pixel in two 2D images and RC...
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A new frameless registration of 2D/3D images based on external markers was presented. In this method, a reference coordinate system (RCS) is constructed, the relation of the coordinate of pixel in two 2D images and RCS is computed. Then the conversion matrix between 3D image coordinate system (3DICS) and RCS is computed according to the coordinate of external markers in 3DICS. The registration of 2D/3D images can be realized by the matrices operation. The experimental results on clinical images show that the registration accuracy of this method was (0.0267 ± 0.0447) mm.
This paper introduces the architecture of an open information and communication platform that integrates all relevant participants in health and social sector. The main concept of the proposed platform is based on con...
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This paper introduces the architecture of an open information and communication platform that integrates all relevant participants in health and social sector. The main concept of the proposed platform is based on concept introduced by new computing paradigms and the need of transformation of the existing internetworking and web technologies into a human resource pool that will be accessible by anyone, at anytime, and from everywhere in support of their needs. This platform intends to create the essential infrastructure for the provisioning of health and social services to individuals that receive residential care using Peer-to-Peer (P2P) networks over Internet, GSM and PSTN networks. The use of new computing models such as Service-Oriented computing, Grid, P2P and argumentation technologies are discussed. Furthermore, the functional requirements and the architecture of a complete solution are presented.
The long-term goal of this project is to build an annotated corpus of biomedical text, to be used as a foundation for the development of automated anaphora resolution systems. We plan to explore the feasibility of usi...
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