71 research outputs found
Intelligent strategies for mobile robotics in laboratory automation
In this thesis a new intelligent framework is presented for the mobile robots in laboratory automation, which includes: a new multi-floor indoor navigation method is presented and an intelligent multi-floor path planning is proposed; a new signal filtering method is presented for the robots to forecast their indoor coordinates; a new human feature based strategy is proposed for the robot-human smart collision avoidance; a new robot power forecasting method is proposed to decide a distributed transportation task; a new blind approach is presented for the arm manipulations for the robots
Advances in Human-Robot Interaction
Rapid advances in the field of robotics have made it possible to use robots not just in industrial automation but also in entertainment, rehabilitation, and home service. Since robots will likely affect many aspects of human existence, fundamental questions of human-robot interaction must be formulated and, if at all possible, resolved. Some of these questions are addressed in this collection of papers by leading HRI researchers
Machine Learning in Sensors and Imaging
Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens
European Avant-Garde: Art, Borders and Culture in Relationship to Mainstream Cinema and New Media
This research analyses the impact of transformation and hybridization processes at the intersection of art, science and technology. These forms of transformation and hybridization are the result of contemporary interactions between classic and digital media.
It discusses the concept of 'remediation' presented by Bolter and proposes the concept of 'digital ekphrasis,' which is based on Manovich' s analyses of the interactions between classic and digital media. This is a model which, borrowed from semiotic structures, encompasses the technical as well as aesthetic and philosophical transformations of contemporary media.
The thesis rejects Baudrillard's and Virilio's proposed concepts of 'digital black hole' as the only possible form of evolution of contemporary digital media. It proposes a different concept for the evolutionary model of contemporary hybridization processes based on contemporary forms of hybridizations that are rooted in aesthetic, philosophical and technological developments. This concept is argued as emancipated from the 'religious' idea of a 'divine originated' perfect image that Baudrillard and Virilio consider to be deteriorated from contemporary hybridization experimentation.
The thesis proposes, through historical examples in the fine arts, the importance of transmedia migrations and experimentations as the framework for a philosophical, aesthetic and technological evolutionary concept of humanity freed from the restrictions of religious imperatives
Participative Urban Health and Healthy Aging in the Age of AI
This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems
Intelligent Transportation Related Complex Systems and Sensors
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data
2013 Oklahoma Research Day Full Program
This document contains all abstracts from the 2013 Oklahoma Research Day held at the University of Central Oklahoma
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