Opportunities For Application Developers Research Articles

Performance optimization of machine learning-based image recognition algorithms for mobile devices based on the iOS operating system

Today, mobile devices play an important role in everyone's daily life, and one of the key technologies leading to significant benefits for mobile applications is machine learning. Optimization of machine learning algorithms for mobile devices is an urgent and important task, it is aimed at developing and applying methods that will effectively use the limited computing resources of mobile devices. The paper discusses various ways to optimize image recognition algorithms on mobile devices, such as quantization and compression of models, optimization of initial calculations. In addition to ways to optimize the machine learning model itself, various libraries and tools for using this technology on mobile devices are also being considered. Each of the described methods has its advantages and disadvantages, and therefore, in the results of the work, it is proposed to use not only a combination of the described options, but also an additional method of parallelization of image processing processes. The article discusses examples of specific tools and frameworks available for optimizing machine learning performance on iOS, and conducted its own experiments to test the effectiveness of various optimization methods. An analysis of the results obtained and a comparison of the performance of the algorithms are also provided. The practical significance of this article is as follows: Improving the performance of machine learning algorithms on iOS mobile devices will lead to more efficient use of computing resources and increase system performance, which is very important in the context of limited computing power and energy resources of mobile devices. Optimization of machine learning performance on the iOS platform contributes to the development of faster and more responsive applications, which will also improve the user experience and allow developers to create new and innovative features and capabilities. Expanding the applicability of machine learning on iOS mobile devices opens up new opportunities for application development in various fields such as pattern recognition, natural language processing, data analysis, and others.

Extending Science Gateway Frameworks to Support Big Data Applications in the Cloud

Cloud computing offers massive scalability and elasticity required by many scientific and commercial applications. Combining the computational and data handling capabilities of clouds with parallel processing also has the potential to tackle Big Data problems efficiently. Science gateway frameworks and workflow systems enable application developers to implement complex applications and make these available for end-users via simple graphical user interfaces. The integration of such frameworks with Big Data processing tools on the cloud opens new opportunities for application developers. This paper investigates how workflow systems and science gateways can be extended with Big Data processing capabilities. A generic approach based on infrastructure aware workflows is suggested and a proof of concept is implemented based on the WS-PGRADE/gUSE science gateway framework and its integration with the Hadoop parallel data processing solution based on the MapReduce paradigm in the cloud. The provided analysis demonstrates that the methods described to integrate Big Data processing with workflows and science gateways work well in different cloud infrastructures and application scenarios, and can be used to create massively parallel applications for scientific analysis of Big Data.

Pengembangan Aplikasi Mobile dengan Qt Sdk: Studi Kasus Monitoring Ruangan Menggunakan Kamera

Nowadays, cell phones or mobile phones have become a multipurpose tool. The developers of mobile phone/smartphone have added an assortment of features and applications that are very useful for the users. Nokia provides the opportunity for application developers by providing developers such as Qt SDK. Application developers can use Qt SDK to design and create applications that can run on mobile phones based on Symbian. In this research Qt SDK was used to create applications for monitoring a room using a camera and display it on a Symbian-based smartphone. Research also used webcam7 software to monitor the camera and display it on PC screen. The Symbian used was Nokia E71. The camera used webcam M-Tech camera connected to the PC via USB cable, and internal webcam. Virtual routers were used to make the laptop into an access point. Virtual routers created using the netsh command was typed at the command prompt laptop. Symbian smartphone was connected to the wifi on the laptop. By accessing the IP of the laptop, display on a webcam has successfully been seen through a symbian smartphone monitoring application created using Qt SDK.

CAESB: Context Aware Enterprise Service Bus

Service Bus (ESB) is responsible for publishing and discovery of services in such environments. Context- aware systems offer entirely new opportunities for application developers and for end users by gathering context data and adapting systems' behavior accordingly. In this paper, we propose a Context Aware ESB (CA-ESB) that will publish and discover services based on location context. The main modules of the framework consist of Context Provider (senses location context), Context Aware Logic Module (decides which regional service to be selected based on location context) and Service Choreographer (choreographs selected services). We propose a graphical model named Context Aware Graph (CA-Graph) that will help us to dynamically choreograph the services. These modules along with other modules of SOA reference architecture will help the ESB to sense the location of users, to select the required services and dynamically choreograph those services. We define a set of metrics based on CA-graph and analyse of performance CA- ESB. An algorithm is proposed that will dynamically choreograph the selected services based on location context. The results of the case study of an Insurance System are used to illustrate our approach.

Security in ad hoc networks and pervasive computing

Security in <i>ad hoc</i> networks and pervasive computing

Building advanced applications with the Belgian eID

AbstractThe Belgian Electronic Identity Card (eID) was introduced in 2002. The card enables Belgian citizens to digitally prove their identity and to sign electronic documents. Today, only a limited number of citizens really use the card in electronic applications. An important reason is the lack of killer functionality and killer applications.This paper presents two reusable extensions to the Belgian eID technology that opens up new opportunities for application developers. First, a secure and ubiquitously accessible remote storage service is presented. Second, it is shown how the eID card can be used to issue new certificates. The feasibility and reusability of both extensions are validated through the development of several applications in different domains. Copyright © 2010 John Wiley &amp; Sons, Ltd.

Ambient Middleware for Context-Awareness (AMiCA)

Recent advances in wireless networking technologies and the growing success of mobile computing devices are enabling new classes of applications. Distributed applications running in a mobile environment are often subject to varying qualities of service from the underlying infrastructure. The objective of the work outlined in this research is the development of an Ambient Middleware framework for Context-awareness which will offer new opportunities for application developers. Context-awareness has been a central issue in Ambient Intelligent research for the last decade. Ambient Intelligent systems and applications represent extremely complex and heterogeneous distributed systems, composed of hardware and software, and the need for middleware for seamless integration is well recognised. Research shows that existing middleware solutions need to evolve, thus permitting the dissemination of omnipresent attributes within the Ubiquitous and Pervasive computing environments of today. To determine the effectiveness of this middleware framework, a cloud computing based application will be developed.

A survey on context-aware systems

Context-aware systems offer entirely new opportunities for application developers and for end users by gathering context data and adapting systems behaviour accordingly. Especially in combination with mobile devices, these mechanisms are of high value and are used to increase usability tremendously. In this paper, we present common architecture principles of context-aware systems and derive a layered conceptual design framework to explain the different elements common to most context-aware architectures. Based on these design principles, we introduce various existing context-aware systems focusing on context-aware middleware and frameworks, which ease the development of context-aware applications. We discuss various approaches and analyse important aspects in context-aware computing on the basis of the presented systems.

Lotus eSuite

The Java™ programming language presents many new opportunities for application developers and users. Lotus eSuite™ uses Java to provide an environment for the deployment and execution of business applications from the corporate intranet. Tools such as spreadsheet, calendar, chart, e-mail, and database access, among others, bring the benefits of network computing to the end user. This paper discusses the eSuite functions and the principles and goals that guided their development.