This is a literature review on neural networks and related algorithms. It is aimed to get a general understanding on neural networks and find out the possible applications of these models in information retrieval (IR) systems.

Beginning with a preliminary definition and typical structure of neural networks, neural networks are studied with respect to their learning processes and architecture structures. A case study on some specific networks and related algorithms is followed. The applications of some neural network models and related algorithms in information retrieval systems are then investigated. Problems on applying neural network models into IR systems are finally summarized in the conclusion.
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All SimBLOX simulation products employ an agent-based or object-oriented architecture. This allows the user to create very large, complex, macro-level simulation models by connecting together many smaller, easily understandable, micro-level “building block” models. In this simple tutorial, we will show you how to use the Water Resource Planning SimBRIX.
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Sensors are everywhere, which includes space, air and ground. Earth phenomena such as disasters also occur everywhere; such as wildfires, floods and volcanoes. There is a need to rapidly deploy existing sensors to aid emergency workers and investigators. The vision for our effort is to provide users the capability to create “mash ups” (a web application that combines data from more than one source into an integrated experience), similar to that used by Google Earth users to create a composite map with overlays of sensor information and from other data sources such as weather, traffic, urban construction etc. We make use of Web 2.0 technology and Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) web service standards to enable access to Earth’s sensors is an emerging mega-trend which will lower the cost of producing customized science by an order of magnitude. This paper will outline the key aspects of our experiments to date and implications for the future and in particular the Global Earth Observation System of Systems (GEOSS) international effort.
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This paper presents the results of a study on the leverage of web 2.0 technology and open business models to expand service providers’ IMS and SDP (Service Delivery Platform) and offer new services and service composition capabilities for existing business partners such as MVNO, ISV, ASPs but also sophisticated end users, so called “prosumers”. We have collected the requirements from different users and customers which were all converging to an expansion of existing environment to offer a much more ‘internet’ like service offering : simple APIs, mix of content and communication capabilities, graphical composition tools, open portal, widgets, developer communities, easy to share, try and comment set of services, etc. Based on that, we did an evaluation of different tools and technology and defined an architecture that could meet these expectations while leveraging existing IMS-SDP environments and built a proof of concept.
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The concept of “Web 2.0” was born in the first Web 2.0 Conference organized by O’Reilly and MediaLive International in 2004. The concept was further elaborated in the article “ What is Web 2.0 Design Patterns and Business Models for the Next Generation of Software” published by Tim O’Reilly in 2005. Generally, Web 2.0 denotes the paradigm of employing the Web as the platform to deliver and use software. Nevertheless, what user experiences, design patterns and technologies Web 2.0 actually encompasses are not concretely bound and they keep evolving. As described in Wikipedia, “Given the lack of set standards as to what ‘Web 2.0’ actually means, implies, or requires, the term can mean radically different things to different people.”
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Web 2.0, RIA, AJAX and SOA are terms and abbreviations we hear and use on a daily basis. But do we know what they mean for us as professional performance testers? This document provides an overview of the relevant Web2.0 terms and elaborates on how to run performance tests on these applications. The document targets the performance testing professional as well as the R&D manager looking for information on how to prepare for this new era.
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This introduction serves as a high-level overview of the different test approaches and tools, including Java Explorer, Java Framework, .NET Explorer, and .NET Framework that are offered by SilkPerformer SOA (Service Oriented Architecture) Edition.

SilkPerformer SOA Edition license is required to enable access to component testing functionality. Users may or may not additionally have a full SilkPerformer license. Please see the SilkPerformer Components information site for more details.
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Decision-makers in every industry are constantly looking for more and more cost reduction and time-to-market acceleration, and
the software and system development industry is no exception to this rule. By taking advantage of the extensive use of both UML
and MDA TM (Model-Driven Architecture), technologies standardized by the OMG (Object Management Group), the Objecteering/UML integrated model-driven development environment allows you to make dramatic gains in productivity, quality and application reuse.
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