An Intelligent Help-Desk Framework for Effective Troubleshooting

Nowadays, technological infrastructure requires an intelligent virtual environment based on decision processes. These processes allow the coordination of individual elements and the tasks that connect them. Thus, incident resolution must be efficient and effective to achieve maximum productivity. In this paper, we present the design and implementation of an intelligent decision-support system applied in technology infrastructure at the University of Seville (Spain). We have used a Case Based Reasoning (CBR) methodology and an ontology to develop an intelligent system for supporting expert diagnosis and intelligent management of incidents. This is an innovative and interdisciplinary approach to knowledge management in problem-solving processes that are related to environmental issues. Our system provides an automatic semantic indexing for the generating of question/answer pairs, a case based reasoning technique for finding similar questions, and an integration of external information sources via ontologies. A real ontology-based question/answer platform named ExpertSOS is presented as a proof of concept. The intelligent diagnosis platform is able to identify and isolate the most likely cause of infrastructure failure in case of a faulty operation

Evolution of NICNET as an incrementally intelligent network

The evolution of NICNET, the Computer-Communication network of the National Informatics Centre, is so oriented that integration and globalization are progessively implemented utilizing the latest cost-effective technologies available In the international market. With the choice of SSMA/CDMA based VSAT technology utilizing a C-band transponder, during the nucleating stage of NICNET, the top 500 cities and towns in India have been linked apart from more than 100 sites of mega projects and economically important locations. In the next step, high speed SCPC based VSATs with two-way as well as data broadcast capabilities utilizing a Ku-band transpoder is enabling the realisation of the NICNET InfoHighway linking metropolises and big cities as an overlay network over tile low speed NICNET. Dedicated high speed external gateways provide initial infrastructure for globalization of NICNET. In the next phase, it is planned to introduce software based information networking architecture on NICNET for which the concept of structure-function matrix based incrementally intelligent network design is proposed in this paper. As the demand for sophisticated services like CUGs, virtual private network Service, universal personal communications, mobile communication and multimedia services increase, NICNET will be required to respond with more flexible access, intelligent management and versatile charging regimes than what is possible currently, all within the frame-work of an open system architecture. Imperatives of globalization and service creation will be rendered incrementally intelligent utilising an approach based on intelligent hypermedia with imbedded expert system for realising intelligent navigation and integration. The same AI approach is determined to be advantageous for intelligent integration of traffic and facility with adaptive flexible routing. The design of NICNET as an intelligent global network providing a versatile local infrastructure with multiple gateway hooks to a global network employing low or medium earth orbiting satellite constellation, is identified as a desirable long term goal

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and (semi)automated mobility. Herein we introduce Digital Twin for self-dRiving Intelligent VEhicles (DRIVE). The developed framework tackles shortcomings of traditional vehicular and network simulators. It provides a flexible, modular, and scalable implementation to ensure large-scale, city-wide experimentation with a moderate computational cost. The defining feature of our Digital Twin is a unique architecture allowing for submission of sequential queries, to which the Digital Twin provides instantaneous responses with the "state of the world", and hence is an Oracle. With such bidirectional interaction with external intelligent agents and realistic mobility traces, DRIVE provides the environment for development, training and optimization of Machine Learning based C-ITS solutions.Comment: Accepted for publication at IEEE ISCC 202

Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page

Can intelligent optimisation techniques improve computing job scheduling in a Grid environment? review, problem and proposal

In the existing Grid scheduling literature, the reported methods and strategies are mostly related to high-level schedulers such as global schedulers, external schedulers, data schedulers, and cluster schedulers. Although a number of these have previously considered job scheduling, thus far only relatively simple queue-based policies such as First In First Out (FIFO) have been considered for local job scheduling within Grid contexts. Our initial research shows that it is worth investigating the potential impact on the performance of the Grid when intelligent optimisation techniques are applied to local scheduling policies. The research problem is defined, and a basic research methodology with a detailed roadmap is presented. This paper forms a proposal with the intention of exchanging ideas and seeking potential collaborators

Synergizing Roadway Infrastructure Investment with Digital Infrastructure for Infrastructure-Based Connected Vehicle Applications: Review of Current Status and Future Directions

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The safety, mobility, environmental and economic benefits of Connected and Autonomous Vehicles (CAVs) are potentially dramatic. However, realization of these benefits largely hinges on the timely upgrading of the existing transportation system. CAVs must be enabled to send and receive data to and from other vehicles and drivers (V2V communication) and to and from infrastructure (V2I communication). Further, infrastructure and the transportation agencies that manage it must be able to collect, process, distribute and archive these data quickly, reliably, and securely. This paper focuses on current digital roadway infrastructure initiatives and highlights the importance of including digital infrastructure investment alongside more traditional infrastructure investment to keep up with the auto industry's push towards this real time communication and data processing capability. Agencies responsible for transportation infrastructure construction and management must collaborate, establishing national and international platforms to guide the planning, deployment and management of digital infrastructure in their jurisdictions. This will help create standardized interoperable national and international systems so that CAV technology is not deployed in a haphazard and uncoordinated manner

Defining the intelligent public sector construction client

Recent efforts and aspirations to transform the delivery of major capital programmes and projects in UK public sector construction by focussing on achievement of value for money, whole life asset management and sustainable procurement have led to the adoption of integrated procurement routes characterised by multiplicity of stakeholders with a diversity of differing and often competing requirements. A study of the challenges faced by the public sector to deliver present and future major capital programmes and projects gravitates to the role of the intelligent client, and concomitant skills and capabilities. The results of the multiple case studies research show that the challenges of this role are especially evident at the interface between the internal organisation and the external suppliers and advisors from the private sector. The research concludes that the intelligent client role requires an individual champion with a unique set of skills working in an environment of a supporting team and capable organisation