15,127 research outputs found

    City Data Fusion: Sensor Data Fusion in the Internet of Things

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    Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. We then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. Our main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.Comment: Accepted to be published in International Journal of Distributed Systems and Technologies (IJDST), 201

    Information fusion for context awareness in intelligent environments

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    The development of intelligent environments requires handling of data perceived from users, received from environments and gathered from objects. Such data is often used to implement machine learning tasks in order to predict actions or to anticipate needs and wills, as well as to provide additional context in applications. Thus, it is often needed to perform operations upon collected data, such as pre-processing, information fusion of sensor data, and manage models from machine learning. These machine learning models may have impact on the performance of platforms and systems used to obtain intelligent environments. In this paper, it is addressed the issue of the development of middleware for intelligent systems, using techniques from information fusion and machine learning that provide context awareness and reduce the impact of information acquisition on both storage and energy efficiency. This discussion is presented in the context of PHESS, a project to ensure energetic sustainability, based on intelligent agents and multi-agent systems, where these techniques are applied

    Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples

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    Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data. In spite of early assertions of the unreasonable effectiveness of data, there is increasing recognition for utilizing knowledge whenever it is available or can be created purposefully. In this paper, we discuss the indispensable role of knowledge for deeper understanding of content where (i) large amounts of training data are unavailable, (ii) the objects to be recognized are complex, (e.g., implicit entities and highly subjective content), and (iii) applications need to use complementary or related data in multiple modalities/media. What brings us to the cusp of rapid progress is our ability to (a) create relevant and reliable knowledge and (b) carefully exploit knowledge to enhance ML/NLP techniques. Using diverse examples, we seek to foretell unprecedented progress in our ability for deeper understanding and exploitation of multimodal data and continued incorporation of knowledge in learning techniques.Comment: Pre-print of the paper accepted at 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). arXiv admin note: substantial text overlap with arXiv:1610.0770

    Affect and believability in game characters:a review of the use of affective computing in games

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    Virtual agents are important in many digital environments. Designing a character that highly engages users in terms of interaction is an intricate task constrained by many requirements. One aspect that has gained more attention recently is the effective dimension of the agent. Several studies have addressed the possibility of developing an affect-aware system for a better user experience. Particularly in games, including emotional and social features in NPCs adds depth to the characters, enriches interaction possibilities, and combined with the basic level of competence, creates a more appealing game. Design requirements for emotionally intelligent NPCs differ from general autonomous agents with the main goal being a stronger player-agent relationship as opposed to problem solving and goal assessment. Nevertheless, deploying an affective module into NPCs adds to the complexity of the architecture and constraints. In addition, using such composite NPC in games seems beyond current technology, despite some brave attempts. However, a MARPO-type modular architecture would seem a useful starting point for adding emotions

    Innovative learning in action (ILIA) issue one: Internationalising the curriculum

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    Welcome to the first edition of the University of Salford’s ‘Innovative Learning in Action’ (ILIA). The journal will be published bi-annually and is intended to provide recognition for and to celebrate the good practice of staff who - across campus - strive to innovate in pursuit of the quality learning experience. The dissemination of good practice will provide positive encouragement to those considering new approaches to student learning and support and act as a springboard for collaboration, shared experience, mutual support and reflection within and across schools and faculties. The journal aims to be inclusive, therefore the Editorial Board welcomes a varied range of contributions from those who are seasoned and experienced researchers in the field, to those who are embarking upon their first engagement with publishing in the domain; from tried and tested innovations which may be transferable to other disciplines to work in progress and embryonic developments; from academic and related staff to those performing roles in support of student learning. The tone of the journal is quite informal, providing an illustrative rather than exhaustive overview of innovations and authors are encouraged to describe and reflect upon their experiences in their own individual styles. The theme of this first edition is ‘Internationalising the Curriculum’ a concept that is at the very heart of the University’s Learning and Teaching Strategy: ‘
preparing students for careers that will be in the global economy and to enrich the wider student experience by integrating the knowledge and experience of our international students.’ (University of Salford, Strategic Framework 2003-2004) Contributions that explore innovative programmes and collaborations underway at the University provide a range of perspectives on curriculum development and design, signifying ways in which other colleagues might pursue an international agenda in their teaching and learning practice

    CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

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    After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

    Empowering Talented Students: An Italian Experience of an Enriched Curriculum in Engineering

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    This paper summarizes the design, the activities performed and the main results achieved by an innovative teaching program, set-up for the talented freshmen in Engineering Bachelor's courses at an Italian technical University, the Politecnico di Torino, Italy, starting from 2013. The project structure is here detailed, year-by-year, with a focus on both the reinforcement of an Engineering standard curriculum, and to the hybrid activities, also in non-technical areas, such as soft-skills, critical thinking, humanities, and creativity. The strategies and methods for the students' selection have been discussed, and the University human resource efforts and the costs involved are justified. The results achieved during a three-year experience, based on structured survey to collect students' feedback, are then critically analysed with the purpose to suggest implementation and further development
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