Designing a Step-by-Step User Interface for Finding Provenance Information over Linked Data

Abstract. The proliferation of the use of Linked Data, and growth of Linked Open Data (LOD) cloud provide a good environment for interrelating previously isolated datasets. To encourage non-professional users to publish and find their required data easily, a good user interface is needed. Also, as users want to reach trustworthy or more up-to-date information in Linked Data, they would like to have access to the provenance data, as well. In this paper, a new method is presented that not only offers an easy interface for searching data in LOD cloud, but also provides provenance information of data

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

Cloud computing provides resources over the Internet and allows a plethora of applications to be deployed to provide services for different industries. The major bottleneck being faced currently in these cloud frameworks is their limited scalability and hence inability to cater to the requirements of centralized Internet of Things (IoT) based compute environments. The main reason for this is that latency-sensitive applications like health monitoring and surveillance systems now require computation over large amounts of data (Big Data) transferred to centralized database and from database to cloud data centers which leads to drop in performance of such systems. The new paradigms of fog and edge computing provide innovative solutions by bringing resources closer to the user and provide low latency and energy-efficient solutions for data processing compared to cloud domains. Still, the current fog models have many limitations and focus from a limited perspective on either accuracy of results or reduced response time but not both. We proposed a novel framework called HealthFog for integrating ensemble deep learning in Edge computing devices and deployed it for a real-life application of automatic Heart Disease analysis. HealthFog delivers healthcare as a fog service using IoT devices and efficiently manages the data of heart patients, which comes as user requests. Fog-enabled cloud framework, FogBus is used to deploy and test the performance of the proposed model in terms of power consumption, network bandwidth, latency, jitter, accuracy and execution time. HealthFog is configurable to various operation modes that provide the best Quality of Service or prediction accuracy, as required, in diverse fog computation scenarios and for different user requirements

The application of virtual reality as a user interface paradigm for telecommunication network management

Networks are becoming increasingly complex and automated. This is due in part to their increased bandwidth, the need for automated protection switching, the deployment of virtual networks based on B-ISDN and ATM technology and the increase in traffic complexity typified by multimedia communications. In turn, network management is becoming more complex and more mission-critical to a larger number of organisations. In the past, this has led to the development of integrated network management systems using Windows Icons Mouse Pointer (WIMP) based user interfaces. However, it is believed that these two-dimensional user interfaces are no longer suitable for management of large and high-speed broadband networks. This thesis investigates the application of Virtual Reality (VR) user interfaces for management of modern telecommunication networks. It tries to exploit the extra display dimensions and high level of interaction of VR systems to provide an environment, in which managers can navigate and manipulate network elements more easily, reducing the risk of human errors. Moreover, the thesis is aimed at determining the usability 3D user interfaces for network management and comparing them with traditional network management systems. In this regard, initially, an immersive user interface has been designed and implemented. In this system, users use head mounted displays (HMDs), VR glove and other 3D input and output devices to navigate through the network hierarchy and manipulate the network elements. Object-oriented design techniques were used to create a modular and configurable system. The empirical and qualitative evaluation of this system revealed that the required technology for using immersive VR as a user interface paradigm is not yet available. This fact led to the development of a desktop flat screen 3D VR user interface based on WWW-technologies. This permits the use of tools and facilities provided by the Internet to create a distributed collaborative multiuser interface. A protocol is required for the exchange of collaboration data among the users. As the existing protocols, such as DIS, were inadequate, a protocol and its Protocol Data Units (PDUs) were defined. Realising the similarities among user interfaces of different applications, the protocol was generalised to become a Generic Protocol for Multiuser Interfaces (GPMI). Using the GPMI, a Web-based multiuser interface for network management was designed and implemented. The WWW-based Network Management System (WNMS) uses the facilities of a three-dimensional desktop VR to provide an integrated universal interface, in which users collaboratively manage networks more efficiently. WWW technologies, such as VRML, HTML, CGI scripts, Java and JavaScript, were utilised to implement this system. Apart from empirical evaluation methods, more rigorous techniques were used to compare WNMS with one of the traditional network management systems, showing the merits and pitfalls of each system. The experiments and subjective measurements that the users significantly preferred the W N M S to the traditional user interface. In addition, the measurement of the taskload using the NASA TaskLoad Index (TLX) revealed that the amount of cognitive workload in WNMS is significantly less than that of the traditional user interface

Ontirandoc: Integrated Collabrative System for developing Persian ontology

While ontology development is beneficial, it is very costly and time consuming. In order to reduce this cost as well as increasing the accuracy and quality of ontology development, researchers have proposed different methodologies. The goal of these methodologies is to present a systematic manual or semi-automated development of ontologies, while each differs and has its strengths and weaknesses. In this paper, after reviewing current methodologies, we present a new integrated collaborative methodology for ontology development, and compare it with the existing ones. This new system, called Ontirandoc, has been used in two ontology development projects and its accuracy has been evaluated

Towards Autonomic Virtual Organization

The evolution of networks and the Internet, which have presented high scalable and available services have made environments more complex. The increasing complexity, cost, and heterogeny in them have motivated researchers to investigate a new idea to cope with the management of complexity in IT industry. Autonomic Computing Systems (ACSs) have been introduced. Moreover, the increasing demands for extended products and services along with advances in IT industry have metamorphosed traditional business toward creating Virtual Organizations (VOs) in order to better respond to business opportunities. Purpose of this paper is to present a survey of ACSs and VOs. It includes some characteristics, issues, and challenges in both. Applying autonomous behavior in improvement of VOs is also proposed in conclusion

An Agent-Based Framework for Automated Testing of Web-Based Systems

Parallel to the considerable growth in applications of web-based systems, there are increasing demands for methods and tools to assure their quality. Testing these systems, due to their inherent complexities and special characteristics, is complex, time-consuming and challenging. In this paper a novel multi-agent framework for automated testing of webbased systems is presented. The main design goals have been to develop an effective and flexible framework that supports different types of tests and utilize different sources of information about the system under test to automate the test process. A prototype of the proposed framework has been implemented and is used to perform some experiments. The results are promising and prove the overall design of the framework