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Träfflista för sökning "AMNE:(ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Robotics) "

Sökning: AMNE:(ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Robotics)

  • Resultat 1-10 av 3778
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1.
  • Blanch, Krister, 1991 (författare)
  • Beyond-application datasets and automated fair benchmarking
  • 2023
  • Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Beyond-application perception datasets are generalised datasets that emphasise the fundamental components of good machine perception data. When analysing the history of perception datatsets, notable trends suggest that design of the dataset typically aligns with an application goal. Instead of focusing on a specific application, beyond-application datasets instead look at capturing high-quality, high-volume data from a highly kinematic environment, for the purpose of aiding algorithm development and testing in general. Algorithm benchmarking is a cornerstone of autonomous systems development, and allows developers to demonstrate their results in a comparative manner. However, most benchmarking systems allow developers to use their own hardware or select favourable data. There is also little focus on run time performance and consistency, with benchmarking systems instead showcasing algorithm accuracy. By combining both beyond-application dataset generation and methods for fair benchmarking, there is also the dilemma of how to provide the dataset to developers for this benchmarking, as the result of a high-volume, high-quality dataset generation is a significant increase in dataset size when compared to traditional perception datasets. This thesis presents the first results of attempting the creation of such a dataset. The dataset was built using a maritime platform, selected due to the highly dynamic environment presented on water. The design and initial testing of this platform is detailed, as well as as methods of sensor validation. Continuing, the thesis then presents a method of fair benchmarking, by utilising remote containerisation in a way that allows developers to present their software to the dataset, instead of having to first locally store a copy. To test this dataset and automatic online benchmarking, a number of reference algorithms were required for initial results. Three algorithms were built, using the data from three different sensors captured on the maritime platform. Each algorithm calculates vessel odometry, and the automatic benchmarking system was utilised to show the accuracy and run-time performance of these algorithms. It was found that the containerised approach alleviated data management concerns, prevented inflated accuracy results, and demonstrated precisely how computationally intensive each algorithm was.
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2.
  • Ciccozzi, Federico, 1983-, et al. (författare)
  • Engineering the software of robotic systems
  • 2017
  • Ingår i: Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017. - : IEEE. ; , s. 507-508
  • Konferensbidrag (refereegranskat)abstract
    • The production of software for robotic systems is often case-specific, without fully following established engineering approaches. Systematic approaches, methods, models, and tools are pivotal for the creation of robotic systems for real-world applications and turn-key solutions. Well-defined (software) engineering approaches are considered the 'make or break' factor in the development of complex robotic systems. The shift towards well-defined engineering approaches will stimulate component supply-chains and significantly reshape the robotics marketplace. The goal of this technical briefing is to provide an overview on the state of the art and practice concerning solutions and open challenges in the engineering of software required to develop and manage robotic systems. Model-Driven Engineering (MDE) is discussed as a promising technology to raise the level of abstraction, promote reuse, facilitate integration, boost automation and promote early analysis in such a complex domain.
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3.
  • Nielsen, Stig Anton, 1981, et al. (författare)
  • Propositional Architecture using Induced Representation
  • 2014
  • Ingår i: What’s the Matter? Materiality and Materialism at the Age of Computation. - 9789608932067 ; , s. 297-312
  • Konferensbidrag (refereegranskat)abstract
    • The paper describes a method and an approach to using sensor data, machine-learning and pattern recognition for proposing and guiding immediate modifications to the existing built environment. The proposed method; Induced Representation, consists of a few steps which we have identified as crucial for such an approach. The steps are A: data collection from the environment, B: machine cognition, learning, prediction, and, c: proposition, visualization, and embodied representations for quick implementation. In the paper we outline the factual and theoretical basis for this approach, and we present and discuss three experiments that each deal with the steps A, B and C.
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4.
  • Berbyuk, Viktor, 1953 (författare)
  • Structural Dynamics Control, Third Edition
  • 2020
  • Bok (övrigt vetenskapligt/konstnärligt)abstract
    • Structural dynamics and especially one of its main problems, vibrations and vibration control, appear in vehicle engineering, high precision machines and mechanisms, robotics, civil engineering, wind turbines, biomechanics, and others. Over the last decades there has been much work concerned with the vibration control of different dynamical systems. The texbook “Structural Dynamics Control” aims at providing knowledge on modern methods and concepts of passive, semi-active and active vibration control, to cross the bridge between structural dynamics and control engineering, while providing an overview of the potential of smart materials, (magnetorheological fluids, magnetostrictive materials, and others), for sensing and actuating purposes in active vibration control. One of the aims of this textbook is to provide students and engineers with opportunity of becoming familiar with the standard methods of the classical calculus of variations, the linear quadratic regulator optimization methods, and modern optimal control theory with focus on their applications in structural dynamics for vibration attenuation and vibration suppression problems. The textbook consists of four main parts: Vibration dynamics, Passive and semi-active vibration control, Active and hybrid vibration control, and Applications. The textbook ends with the supplementary mathematics, list of Matlab codes and answers and hints for the exercises. The list of references consists of only those books and scientific papers which were used during preparation of the textbook or which have been recommended to stundents for additional information on a studied topic. The textbook is aimed at first towards graduate and postgraduate students following Master and PhD programmes related to structural dynamics, mechatronics, control engineering, automotive engineering, noise and vibrations. The only prerequisite for reading this book is basic knowledge in mechanics and some familiarity with vibrations, state space models and automatic control.
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5.
  • Nielsen, Stig Anton, 1981 (författare)
  • Propositional architecture and the paradox of prediction
  • 2015
  • Ingår i: Archidoct Vol. 4. - 2309-0103. ; 4, s. 72-85
  • Tidskriftsartikel (refereegranskat)abstract
    • What if we could predict trends, rising phenomena and future necessity in our build environment? If we could trace behaviors and forecast the needs for the future? If we had a tool for proposing architecture, that was able to point out potentialities and suggest additions, subtractions and modifications.If Architects had a tool to predict future demands, modification of the build environment could meet the changing behaviors and emerging phenomena in society. Research on existing building stock is reviewed in a context where prediction on complex indeterminate environments is possible. And an entirely new type of architectural tool is proposed, an algorithm for prediction.The algorithm, capable of making prediction in unstructured environments, is presented, and basis and idea of the algorithm is described in detail. The discussion focus on possible applications for this new tool, and the paradox of prediction is debated. Finally, improvements to the computational system are proposed.
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6.
  • Farooqui, Ashfaq, et al. (författare)
  • On Active Learning for Supervisor Synthesis
  • 2024
  • Ingår i: IEEE Transactions on Automation Science and Engineering. - : Institute of Electrical and Electronics Engineers Inc.. - 1545-5955 .- 1558-3783. ; 21, s. 78-
  • Tidskriftsartikel (refereegranskat)abstract
    • Supervisory control theory provides an approach to synthesize supervisors for cyber-physical systems using a model of the uncontrolled plant and its specifications. These supervisors can help guarantee the correctness of the closed-loop controlled system. However, access to plant models is a bottleneck for many industries, as manually developing these models is an error-prone and time-consuming process. An approach to obtaining a supervisor in the absence of plant models would help industrial adoption of supervisory control techniques. This paper presents, an algorithm to learn a controllable supervisor in the absence of plant models. It does so by actively interacting with a simulation of the plant by means of queries. If the obtained supervisor is blocking, existing synthesis techniques are employed to prune the blocking supervisor and obtain the controllable and non-blocking supervisor. Additionally, this paper presents an approach to interface the with a PLC to learn supervisors in a virtual commissioning setting. This approach is demonstrated by learning a supervisor of the well-known example simulated in Xcelgo Experior and controlled using a PLC. interacts with the PLC and learns a controllable supervisor for the simulated system. Note to Practitioners—Ensuring the correctness of automated systems is crucial. Supervisory control theory proposes techniques to help build control solutions that have certain correctness guarantees. These techniques rely on a model of the system. However, such models are typically unavailable and hard to create. Active learning is a promising technique to learn models by interacting with the system to be learned. This paper aims to integrate active learning and supervisory control such that the manual step of creating models is no longer needed, thus, allowing the use of supervisory control techniques in the absence of models. The proposed approach is implemented in a tool and demonstrated using a case study. 
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7.
  • Amundin, Mats, et al. (författare)
  • A proposal to use distributional models to analyse dolphin vocalisation
  • 2017
  • Ingår i: Proceedings of the 1st International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, VIHAR 2017. - 9782956202905 ; , s. 31-32
  • Konferensbidrag (refereegranskat)abstract
    • This paper gives a brief introduction to the starting points of an experimental project to study dolphin communicative behaviour using distributional semantics, with methods implemented for the large scale study of human language.
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8.
  • Dodig-Crnkovic, Gordana, 1955 (författare)
  • Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines
  • 2020
  • Ingår i: Philosophies. - Basel, Switzerland : MDPI AG. - 2409-9287. ; 5:3
  • Tidskriftsartikel (refereegranskat)abstract
    • The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of 'learning to learn', as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach human-level intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature.
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9.
  • Theorin, Alfred, et al. (författare)
  • An event-driven manufacturing information system architecture for Industry 4.0
  • 2017
  • Ingår i: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 55:5, s. 1297-1311
  • Forskningsöversikt (refereegranskat)abstract
    • Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.
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10.
  • Lv, Zhihan, Dr. 1984-, et al. (författare)
  • Editorial : 5G for Augmented Reality
  • 2022
  • Ingår i: Mobile Networks and Applications. - : Springer. - 1383-469X .- 1572-8153.
  • Tidskriftsartikel (refereegranskat)
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