Indoor Guide – A Java and CORBA based mobile application
The market of mobile handheld devices and mobile application is growing rapidly. Many different hardware and software products are available. But there is a problem, too many standards from different companies. Software applications implemented for different platforms are very often not compatible with each other. The Vivian project [1] attempts to solve these problems by applying of middleware technologies. These middleware technologies hide an application from low-level details of operating systems, hardware, and data transport protocols. This approach is already successfully utilized in a “normal” PC world in order to solve the problem of the heterogeneity. In Vivian it helps to build applications with high interoperability level in a mobile environment.
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Mobile Application Part Interface (MAPI) Application Programming Interface
This document is a Application Programming Interface containing technical details concerning the implementation of the Mobile Application Part Interface (MAPI) for OpenSS7. It contains recommendations on software architecture as well as platform and system applicability of the Mobile Application Part Interface (MAPI).
This document specifies a STREAMS-based kernel-level instantiation of the 3GPP GSM/UMTS TS.29002 Mobile Application Part (MAP) service definition. The Mobile Application Part Interface (MAPI) enables the user of a mobile application service to access and use a wide variety of conforming mobile application service providers without specific knowledge of the provider’s protocol. The service interface is designed to support any operation class of transaction protocol. This interface only specifies access to mobile application layer service providers, and does not address issues concerning mobile application layer management, protocol performance, and performance analysis tools. This specification assumes that the reader is familiar with the 3GPP GSM/UTMS reference points and protocol stacks, Mobile Application Part services, and STREAMS.
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Design of an Application Programming Interface for IP Network Monitoring
We propose a novel general-purpose network traffic Monitoring Application Programming Interface (MAPI) for network monitoring applications. Our work builds on a generalized network flow model that we argue is flexible enough to capture emerging application needs, and expressive enough to allow the system to exploit specialized monitoring hardware, where available. We describe an implementation of MAPI using the DAG 4.2 Gigabit Ethernet monitoring card and a commodity Gigabit Ethernet adapter, we present a set of experiments measuring overheads, and we demonstrate potential applications. Our experimental results suggest that MAPI has more expressive power than competing approaches, while at the same time is able to achieve significant performance improvements.
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GDI+ Custom Controls with Visual C# 2005 Working with Images
Ever since Graphical User Interfaces (GUIs) were invented, developers have been keen to use images to make their programs easier to use, and more attractive and intuitive to their users. Images brighten up an otherwise boring and clinical computer screen, and make the general computing experience more enjoyable. Visual support facilitates the information absorption and presentation of up-to-date information. Any user can more easily understand information just by looking at a picture. Images are the most intuitive memories because the human mind in most cases has a visual memory. This means that when you recall a memory it is frequently a visual one. Think briefly of a tree. What comes to your mind first? Is it the roughness of bark, the taste of fruit or nuts, the smell of tree, the rustle of leaves-or is it a picture of a tree?
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C# Solutions for a Face Detection and Recognition System
Key issues on using a new programming language - C# - in implementation of a face detection and recognition (FDR) system are presented. Mainly the following aspects are detailed: how to acquire an image, broadcast a video stream, manipulate a database, and finally, the detection/recognition phase, all in relation with theirs possible C#/.NET solutions. Emphasis was placed on artificial neural network (ANN) methods for face detection/recognition along with C# object oriented implementation proposal.
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