16 research outputs found

    Mobile Ad-Hoc Networks

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    Being infrastructure-less and without central administration control, wireless ad-hoc networking is playing a more and more important role in extending the coverage of traditional wireless infrastructure (cellular networks, wireless LAN, etc). This book includes state-of the-art techniques and solutions for wireless ad-hoc networks. It focuses on the following topics in ad-hoc networks: vehicular ad-hoc networks, security and caching, TCP in ad-hoc networks and emerging applications. It is targeted to provide network engineers and researchers with design guidelines for large scale wireless ad hoc networks

    Application of Computational Intelligence in Cognitive Radio Network for Efficient Spectrum Utilization, and Speech Therapy

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    communication systems utilize all the available frequency bands as efficiently as possible in time, frequency and spatial domains. Society requires more high capacity and broadband wireless connectivity, demanding greater access to spectrum. Most of the licensed spectrums are grossly underutilized while some spectrum (licensed and unlicensed) are overcrowded. The problem of spectrum scarcity and underutilization can be minimized by adopting a new paradigm of wireless communication scheme. Advanced Cognitive Radio (CR) network or Dynamic Adaptive Spectrum Sharing is one of the ways to optimize our wireless communications technologies for high data rates while maintaining users’ desired quality of service (QoS) requirements. Scanning a wideband spectrum to find spectrum holes to deliver to users an acceptable quality of service using algorithmic methods requires a lot of time and energy. Computational Intelligence (CI) techniques can be applied to these scenarios to predict the available spectrum holes, and the expected RF power in the channels. This will enable the CR to predictively avoid noisy channels among the idle channels, thus delivering optimum QoS at less radio resources. In this study, spectrum holes search using artificial neural network (ANN) and traditional search methods were simulated. The RF power traffic of some selected channels ranging from 50MHz to 2.5GHz were modelled using optimized ANN and support vector machine (SVM) regression models for prediction of real world RF power. The prediction accuracy and generalization was improved by combining different prediction models with a weighted output to form one model. The meta-parameters of the prediction models were evolved using population based differential evolution and swarm intelligence optimization algorithms. The success of CR network is largely dependent on the overall world knowledge of spectrum utilization in both time, frequency and spatial domains. To identify underutilized bands that can serve as potential candidate bands to be exploited by CRs, spectrum occupancy survey based on long time RF measurement using energy detector was conducted. Results show that the average spectrum utilization of the bands considered within the studied location is less than 30%. Though this research is focused on the application of CI with CR as the main target, the skills and knowledge acquired from the PhD research in CI was applied in ome neighbourhood areas related to the medical field. This includes the use of ANN and SVM for impaired speech segmentation which is the first phase of a research project that aims at developing an artificial speech therapist for speech impaired patients.Petroleum Technology Development Fund (PTDF) Scholarship Board, Nigeri

    High-Performance Modelling and Simulation for Big Data Applications

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    This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

    High-Performance Modelling and Simulation for Big Data Applications

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    This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

    EWA Selection Strategy with Channel Handoff Scheme in Cognitive Radio

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    This paper proposes an improved Experience-Weighted Attraction (EWA) selection algorithm with channel handoff scheme in order to meet the practical requirement for Cognitive Radio (CR) application. In further research, sensitivity and stability verification is conducted by focusing on the comparison with Q learning algorithm after the establishment of a wireless simulation space with time slot sequences that extremely imitates real Cognitive Radio environments. The emulation results show that channel selection strategy with EWA learning has more advantageous performance

    Energy Modelling and Fairness for Efficient Mobile Communication

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    Knowledge Management and Retention: A Case of a Water Utility in Finland

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    Knowledge management has been discussed and debated world-wide since the beginning of the 1990s. Over the years, knowledge management has become important due to an increased awareness of the importance of knowledge for an organisation’s prosperity and survival, and due to the increased availability of information technology to store, distribute and generally manage knowledge.The shared opinion globally and in Finland is that water utilities, where most of the larger water utilities are integrated and provide both drinking water and wastewater services, face continuous challenges with the changes of physical and operational environment and with rapidly ageing personnel. Because knowledge management, especially tacit knowledge, is a critical success factor for water utilities when striving for better and more sustainable performance, utilities should manage both explicit and tacit knowledge and transfer them to new generations of employees.This dissertation deals with knowledge management at one Finnish utility. The following research questions are addressed: (i) how do personnel at water utilities interpret the concepts of information, knowledge management and tacit knowledge, and how is knowledge captured and shared; (ii) what information needs do personnel have in performing daily tasks and what acquisition channels do they use; and (iii) what is the role of formal and informal networks in performing daily tasks and gaining new knowledge.The approach of this research is qualitative and contained both longitudinal and cross-sectional time horizons. The personnel of the same water utility were interviewed with a semi-structured questionnaire in 2004 and in 2013. The interviews were analysed by combining qualitative and statistical methods. Multiple sources of evidence on knowledge management practices at water utilities and in organisations was gathered in thematic workshop sessions in 2010 and in 2011.One of the interesting findings was that interpretations of knowledge management had changed from informing people in 2004 to understanding knowledge management as personal, individual property in 2013. The personnel were proud of the knowledge they owned of the water treatment processes. This knowledge was considered technical knowledge, which is critical to the livelihood of the utility. There were many ways to share information and knowledge and a number of reasons were found explaining why knowledge sharing was considered difficult. The most important difficulties mentioned included lack of time, competing priorities, organisatorial barriers, sharing attitudes and atmosphere, a gap between older and younger people, and unwillingness to share.In 2004 tacit knowledge was an unknown concept while in 2013 the concept was quite clear to most of the personnel. Tacit knowledge was highly valued and it was associated with the skills and knowledge gathered over the years working at the same water utility. Tacit knowledge was shared in normal daily work and especially during malfunctions.Information needs and usage at the utility were versatile and depended on the tasks performed by the employees. Almost everyone (over 90%) needed technical information on equipment, and over 60 percent needed knowledge of legislation. This research showed that the personnel used personal files, document collections, the internet and the intranet more often in 2013 than in 2004. The shift from printed material to electronic material has increased over the years. At the same time discussion with closest co-workers kept its importance.The traced networks in trade union and professional association membership of the personnel indicate that assistance for solving professional challenges is not sought from these sources. The most important network was the closest co-workers, concerning the solutions to problems related to daily tasks. The results showed that external networks were large, quite stable and included multiple sectors. The professional networks consisted of task-relevant contacts, and every interviewee had individual contact networks.Knowledge management requires long-term planning and actions. In this research it was clear that the top management should take responsibility for knowledge management at the utility. They should set strategies and approaches for knowledge management actions and ensure time allocations and tools for knowledge sharing. It is important to specify which kind of knowledge is valuable and worth retaining from the information overload.Empirical findings from tacit knowledge, knowledge capturing and sharing, professional networks and knowledge retention at water utilities contributed to the understanding of the importance of knowledge management and knowledge retention. A limitation of this research is that it deals thoroughly with one water utility only. Thus, the results of this study are neither universally applicable nor directly applicable to water utilities of the same size. Yet, the gained results were supported by the evidence from multiple water utilities and water sector organisations.The most important scientific contribution of this dissertation is that knowledge management was explored comprehensively in a sector that has not been studied extensively earlier. The results contribute to the body of scholarly literature in information and knowledge acquiring, creation, sharing and retention of water utilities. The study, among other things, found that a more in-depth study is needed to find out how knowledge management and retention differ at water utilities of different sizes and what effect ownership has on them. More research is also required of the demographic changes at water utilities, especially the effect of new generations on the way water utilities will operate in the future

    Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

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    The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios

    NOTIFICATION !!!

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    All the content of this special edition is retrieved from the conference proceedings published by the European Scientific Institute, ESI. http://eujournal.org/index.php/esj/pages/view/books The European Scientific Journal, ESJ, after approval from the publisher re publishes the papers in a Special edition

    NOTIFICATION !!!

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    All the content of this special edition is retrieved from the conference proceedings published by the European Scientific Institute, ESI. http://eujournal.org/index.php/esj/pages/view/books The European Scientific Journal, ESJ, after approval from the publisher re publishes the papers in a Special edition
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