In this paper a new approach for an overall system design is presented. It supports object-oriented system modeling for software components in embedded systems in addition to time-discrete and time-continuous modeling...
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Today’s information systems operate within a dynamic, organizational context and consequently require flexible architectures to ensure that they remain operational and useful. the Tropos software development methodol...
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We discuss variation and formalization strategies for managing technology: use mediation of Web-enabled applications in an organisational context. the use of information technology to support healthcare in the UK enta...
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We discuss variation and formalization strategies for managing technology: use mediation of Web-enabled applications in an organisational context. the use of information technology to support healthcare in the UK entails a close collaboration between many geographically distributed actors. ASP and Web services are becoming an increasingly popular alternative to selling softwarethe traditional way. We look at ASP as a possible solution to the NHS need to induce uniformity of configurations across the health sector, which might strengthen the mediating position of the NHS information authority and how well the technology is suited to the local work practices of medical practitioners. the result of our study shows the need for a more transparent implementation process. Also noticed were major trepidations from medical practitioners, regarding ASP business model unsuitability to improve the NHS information authority's efforts to fully support healthcare process and relevant health services. Most likely because of its apparent top-down approach.
this paper describes an agent-based architecture that extends personal mobility to ubiquitous environment. A software agent, running on a portable device, leverages the existing service discovery protocols to learn ab...
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are developing an application for the insurance business in Java and started to use JUnit for testing our application. But soon after, we discovered several areas which were hard to test. these areas were mainly on th...
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Recent evidences indicate that most faults in softwaresystems are found in only a few of a system's components [1]. the early identification of these components allows an organization to focus on defect detection...
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Recent evidences indicate that most faults in softwaresystems are found in only a few of a system's components [1]. the early identification of these components allows an organization to focus on defect detection activities on high risk components, for example by optimally allocating testing resources [2], or redesigning components that are likely to cause field failures. this paper presents a prototype tool called Architecture-level Risk Assessment Tool (ARAT) based on the risk assessment methodology presented in [3]. the ARAT provides risk assessment based on measures obtained from Unified Modeling Language (UML) artifacts [4]. this tool can be used in the design phase of the software development process. It estimates dynamic metrics [5] and automatically analyzes the quality of the architecture to produce architectural-level software risk assessment [3].
Driven by potential applications in military, biology, robot navigation and other areas, various methods for optical pattern recognition have been proposed and studied over the past decades. the key feature in current...
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Driven by potential applications in military, biology, robot navigation and other areas, various methods for optical pattern recognition have been proposed and studied over the past decades. the key feature in current real-time optical pattern recognition systems among these methods is the use of a spatial light modulator (SLM) at the Fourier transform plane in the so-called joint-Fourier transform correlation (JTC) system [C.S Weaver et al. (1966)]. We propose a novel hybrid (optical/electronic) processing technique to achieve real-time joint-transform correlation. the technique employs acousto-optic heterodyne scanning [T.-C. Poon et al., 1979] and it does not require a SLM at the Fourier plane as in other conventional real-time JTC systems. this departure from the conventional scheme is extremely important, as it does not depend on SLM design considerations and issues such as phase uniformity and contrast ratio. the effectiveness of the novel proposed system will be demonstrated with some experimental results. Future work will be focused on exploring scale-invariant, rotation-invariant and multiobject joint-transform correlation withthis hybrid optical pattern recognition method.
Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. the goal is to specify a target program in terms of the features that it offers, and to synthesize an efficient program that ...
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Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. the goal is to specify a target program in terms of the features that it offers, and to synthesize an efficient program that meets these specifications. FOP has been used to develop product-lines in disparate domains, including compilers for extensible Java dialects [3], fire support simulators for the U.S. Army [5], high-performance network protocols [1], and program verification tools [14].
the event based architectural style has been recognized as fostering the development of large-scale and complex systems by loosely coupling their components. It is therefore increasingly deployed in various environmen...
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In this study, we introduce a concept of Rule-based fuzzy polynomial neural networks (RFPNN), a hybrid modeling architecture combining rule-based fuzzy neural networks(RFNN) and polynomial neural networks(PNN). We dis...
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ISBN:
(纸本)3540140409
In this study, we introduce a concept of Rule-based fuzzy polynomial neural networks (RFPNN), a hybrid modeling architecture combining rule-based fuzzy neural networks(RFNN) and polynomial neural networks(PNN). We discuss their comprehensive design methodology. the development of the RFPNN dwells on the technologies of Computational Intelligence(CI), namely fuzzy sets, neural networks, and genetic algorithms. the architecture of the RFPNN results from a synergistic usage of RFNN and PNN. RFNN contribute to the formation of the premise part of the rule-based structure of the RFPNN. the consequence part of the RFPNN is designed using PNN. We discuss two kinds of RFPNN architectures and propose a comprehensive learning algorithm. In particular, it is shown that this network exhibits a dynamic structure. the experimental results include well-known software data such as the Medical Imaging System(MIS) dataset.
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