A brief network analysis of Artificial Intelligence publication

In this paper, we present an illustration to the history of Artificial Intelligence(AI) with a statistical analysis of publish since 1940. We collected and mined through the IEEE publish data base to analysis the geological and chronological variance of the activeness of research in AI. The connections between different institutes are showed. The result shows that the leading community of AI research are mainly in the USA, China, the Europe and Japan. The key institutes, authors and the research hotspots are revealed. It is found that the research institutes in the fields like Data Mining, Computer Vision, Pattern Recognition and some other fields of Machine Learning are quite consistent, implying a strong interaction between the community of each field. It is also showed that the research of Electronic Engineering and Industrial or Commercial applications are very active in California. Japan is also publishing a lot of papers in robotics. Due to the limitation of data source, the result might be overly influenced by the number of published articles, which is to our best improved by applying network keynode analysis on the research community instead of merely count the number of publish.Comment: 18 pages, 7 figure

RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction

Robots have potential to revolutionize the way we interact with the world around us. One of their largest potentials is in the domain of mobile health where they can be used to facilitate clinical interventions. However, to accomplish this, robots need to have access to our private data in order to learn from these data and improve their interaction capabilities. Furthermore, to enhance this learning process, the knowledge sharing among multiple robot units is the natural step forward. However, to date, there is no well-established framework which allows for such data sharing while preserving the privacy of the users (e.g., the hospital patients). To this end, we introduce RoboChain - the first learning framework for secure, decentralized and computationally efficient data and model sharing among multiple robot units installed at multiple sites (e.g., hospitals). RoboChain builds upon and combines the latest advances in open data access and blockchain technologies, as well as machine learning. We illustrate this framework using the example of a clinical intervention conducted in a private network of hospitals. Specifically, we lay down the system architecture that allows multiple robot units, conducting the interventions at different hospitals, to perform efficient learning without compromising the data privacy.Comment: 7 pages, 6 figure

A survey of outlier detection methodologies

Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations in populations. Their detection can identify system faults and fraud before they escalate with potentially catastrophic consequences. It can identify errors and remove their contaminating effect on the data set and as such to purify the data for processing. The original outlier detection methods were arbitrary but now, principled and systematic techniques are used, drawn from the full gamut of Computer Science and Statistics. In this paper, we introduce a survey of contemporary techniques for outlier detection. We identify their respective motivations and distinguish their advantages and disadvantages in a comparative review

A Query-Centered Perspective on Context Awareness in Mobile Ad Hoc Networks

The wide-spread use of mobile computing devices has ledto an increased demand for applications that operate de-pendably in opportunistically formed networks. A promis-ing approach to supporting software development for suchdynamic settings is to rely on the context-aware computingparadigm, in which an application views the state of the sur-rounding ad hoc network as a valuable source of contextualinformation that can be used to adapt its behavior. Col-lecting context information distributed across a constantlychanging network remains a significant technical challenge.With this in mind, we propose a query-centered approach tosimplifying context interactions in mobile ad hoc networks.With our approach, an application programmer views thesurrounding world as a single data repository over whichdescriptive queries can be issued. Queries may be tran-sient, or may be more durable persistent queries that reactto changes in data or the network. Processing such queriesentails the creation and maintenance of a distributed over-lay data structure whose size needs to be under applicationcontrol. A high level of flexibility is achieved by judicioususage of mobile code fragments. In this paper, we presentthe design and implementation of our query service for adhoc networks

Proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET 2013)

"This book contains the proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET) 2013 which was held on 16.-17.September 2013 in Paphos (Cyprus) in conjunction with the EC-TEL conference. The workshop and hence the proceedings are divided in two parts: on Day 1 the EuroPLOT project and its results are introduced, with papers about the specific case studies and their evaluation. On Day 2, peer-reviewed papers are presented which address specific topics and issues going beyond the EuroPLOT scope. This workshop is one of the deliverables (D 2.6) of the EuroPLOT project, which has been funded from November 2010 – October 2013 by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission through the Lifelong Learning Programme (LLL) by grant #511633. The purpose of this project was to develop and evaluate Persuasive Learning Objects and Technologies (PLOTS), based on ideas of BJ Fogg. The purpose of this workshop is to summarize the findings obtained during this project and disseminate them to an interested audience. Furthermore, it shall foster discussions about the future of persuasive technology and design in the context of learning, education and teaching. The international community working in this area of research is relatively small. Nevertheless, we have received a number of high-quality submissions which went through a peer-review process before being selected for presentation and publication. We hope that the information found in this book is useful to the reader and that more interest in this novel approach of persuasive design for teaching/education/learning is stimulated. We are very grateful to the organisers of EC-TEL 2013 for allowing to host IWEPLET 2013 within their organisational facilities which helped us a lot in preparing this event. I am also very grateful to everyone in the EuroPLOT team for collaborating so effectively in these three years towards creating excellent outputs, and for being such a nice group with a very positive spirit also beyond work. And finally I would like to thank the EACEA for providing the financial resources for the EuroPLOT project and for being very helpful when needed. This funding made it possible to organise the IWEPLET workshop without charging a fee from the participants.

Robot CeDRI 2023: sub-system integration and health dashboard

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáWith the constant increase in the volume of data generated and collected in several areas, data visualization has become more relevant to improve equipment management, reduce operational costs and increase process efficiency. This paper proposes developing a health monitoring system for an Autonomous Mobile Robots (AMR) equipment, which allows data acquisition and analysis for decision-making performed autonomously and by the equipment manager. Implementing the proposed system demonstrated favourable results in data acquisition, analysis, and visualization for decision-making. Using a hybrid control architecture, the data acquisition and processing showed to be effective, without significant impacts on the battery consumption or in the use of microcomputer resources embedded in the AMR. The developed dashboard demonstrated efficient data navigation and visualization, providing essential tools for decision-making by the platform administrator. This work contributes to the health monitoring of types of equipment as AMRs. It may be of interest to professionals and researchers in areas related to robotics and automation, especially those who work with equipment that uses Robot Operating System (ROS). Besides, the developed system is open-source, making it accessible and customizable in different contexts and applications.Com o aumento contínuo da quantidade de dados produzidos e coletados em diversas áreas, a visualização de dados tem se mostrado cada vez mais relevante para melhorar a manutenção de equipamentos, reduzir custos operacionais e aumentar a eficiência de processos. Este trabalho propõe o desenvolvimento de um sistema de monitoramento da saúde de um equipamento do tipo Autonomous Mobile Robots (AMR), que permita a coleta e análise de dados para tomadas de decisão realizadas tanto autonomamente quanto pelo gestor da plataforma. A implementação do sistema proposto apresentou resultados favoráveis na coleta, análise e visualização de dados para a tomada de decisões. Utilizando uma arquitetura de controle híbrida, a aquisição e processamento dos dados mostrouse eficiente, sem impactos significativos no consumo de bateria ou uso de recursos do microcomputador embarcado no AMR. O dashboard desenvolvido mostrou-se eficiente na navegação e visualização dos dados, fornecendo ferramentas importantes para a tomada de decisão do gestor da plataforma. Este trabalho contribui para a monitorização de saúde de equipamentos como AMRs, podendo ser de interesse para profissionais e pesquisadores em áreas relacionadas à robótica e automação, em especial aqueles que trabalham com equipamentos que utilizam do Robot Operating System (ROS). Além disso, o sistema apresentado é open-source, tornando-o acessível e personalizável para uso em diferentes contextos e aplicações

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research