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  • Advances in Cognitive Neurodynamics (IV)
  • 2014
  • Proceedings (redaktörskap) (övrigt vetenskapligt)abstract
    • Cognition in its essence is dynamic and multilayered, and the pursuit of new clues inevitably leads from one layer to the next, both bottom-up and top-down. Similarly, the nervous system can be described at different organizational levels, e.g. sub-cellular, cellular, network and the level of the entire brain, and each level is characterized by its dynamical states and processes. Knowledge and understanding of the great complexity of neural systems has increased tremendously in the last few decades. Experimental methods, such as patch clamp technique, EEG, MEG, PET, fMRI etc have provided a huge amount of data. At the same time, statistical, mathematical and computational analysis and modeling have contributed to an understanding of the intricate relations between structure, dynamics and function of neural systems at different scales. Both holistic and reductionist approaches have proven essential for a more comprehensive description.  The young and rapidly growing research field of cognitive neurodynamics has evolved from the inter-play between experimental and theoretical/computational neuroscience and cognitive science. Inevitably, this field is highly interdisciplinary, where scientists from many different fields, such as neuroscience, cognitive science, psychology, psychiatry, medicine, mathematics, physics, and computer science contribute to the advancement of the field. In particular, methods to describe, analyze and model nonlinear dynamics, including spiking, bursting, oscillating and chaotic behavior, often in combination with stochastic processes, need to be further developed and applied. Also, advanced techniques to implement the models in artificial systems, computers and robots, are called for.  In order to promote the integration of cognitive science and neurodynamics as a whole, the International Conference on Cognitive Neurodynamics (ICCN) is held biennially since 2007 with support from the international journal Cognitive Neurodynamics (Springer). The first two conferences in the series were held in China (Shanghai and Hangzhou, respectively) and the third conference was held in Japan (Hokkaido).  The 4th conference, ICCN2013, on which these proceedings are based, was for the first time organized outside Asia, in Sigtuna, Sweden on 23-27 June 2013, right after the Swedish Midsummer. The conference was held in the inspiring and creative atmosphere of the Sigtuna Foundation, offering a stimulating forum for scientists, scholars and engineers to review the latest progress in the field of cognitive neurodynamics, and to exchange experiences and ideas. The Sigtuna Foundation with its unique architecture on a hill near the shore of lake Mälaren, provided an excellent setting for the talks and intense discussions, often extending late into the bright midsummer nights.  ICCN2013 attracted 153 participants from 20 different countries, who made this conference a successful and memorable event. There were four keynote talks by leading scientists in the field of cognitive neurodynamics, Prof. Walter Freeman, Prof. Riitta Hari, Prof. Fabio Babiloni, and Prof. Yoko Yamaguchi. In addition, eight plenary talks were given by Prof. Steven Bressler, Prof. Barry Richmond, Prof. Yanchao Bi, Prof. Scott Kelso, Prof. John Hertz, Prof. James Wright, Prof. Paul Rapp, and Prof. Aike Guo. In total 120 papers were presented in oral or poster sessions. The topics ranged from macro- and meso- to microscopic levels, from social and interactive neurodynamics, all the way down to neuronal processes at quantum levels.  This volume fairly well reflects the large span of research presented at ICCN2013. The papers of this volume are grouped in ten parts that are organized essentially in a top-down structure. The first parts deal with social/interactive (I) and mental (II) aspects of brain functions and their relation to perception and cognition (III). Next, more specific aspects of sensory systems (IV) and neural network dynamics of brain functions (V), including the effects of oscillations, synchronization and synaptic plasticity (VI), are addressed, followed by papers particularly emphasizing the use of neural computation and information processing (VII). With the next two parts, the levels of cellular and intracellular processes (VIII) and finally quantum effects (IX) are reached. The last part (X), with the largest number of papers of mixed topics, is devoted to the contributions invited by the Dynamic Brain Forum (DBF), which was co-organized with ICCN2013. 
  • Stigwall, Johan, 1977-, et al. (författare)
  • Photonic GHz to THz tunable signal generation by chirped-pulse mixing
  • 2006
  • Ingår i: 2006 European ISIS Workshop, Emerging Optical Broadband Technologies, Boppard am Rhein, Germany, May 29 - June 1, 2006.
  • Konferensbidrag (refereegranskat)abstract
    • Frequency-tunable generation of pulsed tones in the millimeter to sub-millimeter range was demonstrated by mixing of two chromatically dispersing femtosecond laser pulses split up in time by an adjustable differential group delay (DGD) and a polarizer. The signal frequency was set by adjusting the amount of DGD and the amount of dispersion, and was here tuned from below 1 GHz to 0.9 THz. Time-domain measurements were conducted using a sampling oscilloscope for the lower frequencies and an auto-correlator for the higher frequencies. Near 100% modulation depth was obtained, and the signal phase was very stable, being locked to the pulses from the femtosecond laser. The line-width of the mm-wave waveform was found to be transform-limited if the signal chirp induced by higher order dispersion was compensated for. Suggested applications for this system are for instance THz spectroscopy, characterization of high performance photo-diodes and real-time dispersion measurements.
  • Savic, Vladimir, et al. (författare)
  • Belief consensus algorithms for fast distributed target tracking in wireless sensor networks
  • 2014
  • Ingår i: Signal Processing. - Elsevier. - 0165-1684. ; 95, s. 149-160
  • Tidskriftsartikel (refereegranskat)abstract
    • In distributed target tracking for wireless sensor networks, agreement on the target state can be achieved by the construction and maintenance of a communication path, in order to exchange information regarding local likelihood functions. Such an approach lacks robustness to failures and is not easily applicable to ad-hoc networks. To address this, several methods have been proposed that allow agreement on the global likelihood through fully distributed belief consensus (BC) algorithms, operating on local likelihoods in distributed particle filtering (DPF). However, a unified comparison of the convergence speed and communication cost has not been performed. In this paper, we provide such a comparison and propose a novel BC algorithm based on belief propagation (BP). According to our study, DPF based on metropolis belief consensus (MBC) is the fastest in loopy graphs, while DPF based on BP consensus is the fastest in tree graphs. Moreover, we found that BC-based DPF methods have lower communication overhead than data flooding when the network is sufficiently sparse.
  • Bengtsson, Lars, 1963- (författare)
  • Embedded Measurement Systems
  • 2013
  • Doktorsavhandling (övrigt vetenskapligt)abstract
    • The subject of Embedded Measurement Systems (EMS) is the merging of embedded systems and electrical measurement systems. This indicates that EMSs are hardware-software systems dedicated to measuring one or a few physical quantities. Applications are numerous; EMSs measure the temperature in refrigerators, freezers, irons, ovens and automobile combustion engines, they sense vibrations in tilt alarms and game consoles, they measure airflow in engines and ventilation systems, they measure shock impact in crash detectors and are used as shock and temperature loggers for transport goods, they measure air pressure in airplane cabins, humidity in air-conditioned environments, they measure liquid levels in fuel tanks, they detect smoke in fire alarms, they measure the viscosity of lubricant oil in engines, they measure the rotation speed of spinning wheels (in any engine), they measure torque in engines and are used as heart rate and ECG detectors in medicine etc. The commercial demand for ever cheaper products and worldwide environmental legislations force vendors to continuously look for more cost-efficient and less power-consuming solutions for their embedded measurement systems. This thesis is concerned most of all with the implementation of cost-efficient/low-power measurement systems in embedded controllers. This includes some novel ideas in voltage, time and resistance measurements with embedded controllers and it will demonstrate how these quantities, analog in nature, can be measured accurately and precisely by inherently digital embedded controllers.
  • Bengtsson, Lars, 1963- (författare)
  • New design ideas for TDR-based liquid level detectors
  • 2017
  • Ingår i: I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference. 22-25 May 2017. Turin, Italy. Proceedings. - IEEE. - 1091-5281. - 978-150903596-0
  • Konferensbidrag (refereegranskat)abstract
    • This work suggests some new solutions to TDR-based liquid level detectors. A 3D-printed waveguide cylinder has been designed in order to increase the sensitivity of the level measurement. By wrapping the probing waveguide-pair around a cylinder, an inclination angle ϕ is introduced which increases the time-of-flight by a factor of 1/sinϕ and hence the level resolution is increased (by the same factor). This work also illustrates how nanosecond pulses (for TDR systems) can be generated by applying a technique usually found in FIMs (Field Ion Microscopes). A time resolution of 2 ns/mm (of liquid level) is reported and a generic nanosecond pulse generator isdemonstrated.
  • Di Orio, Giovanni, et al. (författare)
  • The PRIME Semantic Language: Plug and Produce in Standard- based Manufacturing Production Systems
  • 2015
  • Ingår i: Proceedings of the Flexible Automation and Intelligent Manufacturing Conference.
  • Konferensbidrag (övrigt vetenskapligt)abstract
    • Nowadays manufacturing production systems are becoming more and more responsive in order to succeed in ahighly unstable environment. The capability of a production system to effectively and efficiently adapt and evolveto face the changing requirements – imposed by volatile and dynamic global markets – is a necessary conditionto enable manufacturing enterprises to be agile. Since the agility of a manufacturing enterprise is always limitedby the agility of its own building blocks than it needs to be spread over the whole enterprise including the operationand information technologies (OT/IT). Turning to production systems, one of the significant challenges isrepresented by the possibility to provide easy and rapid (re-)configuration of their internal components and/orprocesses. Innovative technologies and paradigms have been explored during the years that combined with theincreasing advancement in manufacturing technologies enable the implementation of the “plug and produce”paradigm. The “plug and produce” paradigm is the foundation of any agile production system, since to be agile itis inevitably required to reduce the installation and (re-)engineering activities time – changing/adapting the systemto new requirements – while promoting configuration rather than programming. Therefore, the “plug andproduce” paradigm is a necessary but not sufficient condition for implementing agile production systems. Modernproduction systems are typically known for their plethora of heterogeneous component/equipment. In this complexscenario, the implementation of the “plug and produce” paradigm implies the existence of a well-definedontological model to support components/equipment abstraction with the objective to allow interactions,collaboration and knowledge sharing between them. The PRIME semantic language specifies the semanticstructure for the knowledge models and overall system communication language.
  • Ribeiro, Luis, et al. (författare)
  • Industrial Agents for the Fast Deployment of Evolvable Assembly Systems
  • 2015
  • Ingår i: Industrial Agents : Emerging Applications of Software Agents in Industry. - Amsterdam, Netherlands : Elsevier. - 978-0-12-800341-1 ; s. 301-321
  • Bokkapitel (övrigt vetenskapligt)abstract
    • The current manufacturing scenario is characterized by high market unpredictability. Agility is therefore a central challenge for modern companies that need to understand and be proactive towards their product offer in respect to “what is offered, when it is offered, where, how and by whom” (Brown & Bessant 2003).The “what” and the “when” are particularly relevant to the research in emerging paradigms as they account for variety, customization and volume; and timing, speed and seasonality (Brown & Bessant 2003).In this scenario, several design approaches and models have been proposed in the last decade to enable re-configurability and subsequently enhance the companies’ ability to adjust their offer in nature and time.From a paradigmatic point of view research has concentrated on the organizational structure of the shop-floor and the associated controls aspects. Concepts like Reconfigurable Manufacturing Systems (RMS) (Koren & Shpitalni 2010) and Fractal Factories (FF) (Montreuil 1999) support the physical construction of production systems by regulating their layout and making a few assumptions on their logical organization. On the other hand, concepts like Bionic Manufacturing Systems (BMS)(Ueda 1992), Holonic Manufacturing Systems (HMS)(Van Brussel et al. 1998), Evolvable Assembly Systems (Ribeiro et al. 2010) essentially provide the theoretical guidelines for the logical/computational organization of the system (see (Tharumarajah 1996) for a comparison between BMS, HMS and FF and (Setchi & Lagos 2004) for the rationale supporting the shift from Dedicated Lines to Flexible Manufacturing System and finally RMS).While these paradigms provide the conceptual framework and the main design guidelines their actual interpretation and implementation has led to a wider set of architectures (Monostori, Váncza & Kumara 2006; Leitão 2009; Parunak 2000; Pěchouček & Mařík 2008).These architectures align the high-level principles with the technological offer and limitations while seeking to address the re-configurability requirements of (Mehrabi, Ulsoy & Koren 2000; Rösiö & Säfsten 2013):module mobility – modules are easy and quick to move and install;“diagnosability” – it is quick to identify the sources of quality and reliability problems;“integrability” – modules are easy to integrate into the rest of the system.“convertibility” – it is easy and quick to switch between existing products and it is easy to adapt the system to future products;scalability – it is easy to enlarge and downsize the production system;“automatibility” – a dynamic level of automation is enabled;modularity – all system elements are designed to be modular;customization – the capability and flexibility of the production system is designed according to the products to be produced in the system.Instant deployment, as addressed in the present chapter directly addresses mobility, “integrability”, “convertibility”, scalability and customization. Mechatronic modularity is a prerequisite and is enforced by the proposed architecture and the considered modular design. “Diagnosability” was not specifically tackled.In this context, the chapter analyses the agent-based architecture related with the Instantly Deployable Evolvable Assembly System (IDEAS) project that is inspired by the Evolvable Assembly System (EAS) paradigm (Ribeiro et al. 2010) as a mechanism to enable fast deployment of mechatronic modules. EAS advocates the use of process-oriented modules and envisions the production system as a collection of processes and the associated interacting agents.The architecture and the related test cases are used to draw the main lessons learned in respect to technological and conceptual implications.In this context, the remainder of this text is organized as follows: section 1.1 discusses the main deployment challenges, section 1.2 details the reference architecture and associated concepts, section 1.3 presents the principal implementation decisions, section 1.4 features the main lessons learned, sections 1.5 discusses the benefits of the proposed approach and finally section 1.6 reflects on the main conclusions.
  • Bergström, Andreas, 1978-, et al. (författare)
  • TOA Estimation Improvements in Multipath Environments by Measurement Error Models
  • 2017
  • Ingår i: Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). - Institute of Electrical and Electronics Engineers (IEEE). - 9781538635315 - 9781538635308 ; s. 1-8
  • Konferensbidrag (refereegranskat)abstract
    • Many positioning systems rely on accuratetime of arrival measurements. In this paper, we addressnot only the accuracy but also the relevance of Time ofArrival (TOA) measurement error modeling. We discusshow better knowledge of these errors can improve relativedistance estimation, and compare the impact of differentlydetailed measurement error information. These models arecompared in simulations based on models derived froman Ultra Wideband (UWB) measurement campaign. Theconclusion is that significant improvements can be madewithout providing detailed received signal information butwith a generic and relevant measurement error model.
  • Alam, Assad, et al. (författare)
  • Cooperative driving according to Scoop
  • 2011
  • Rapport (övrigt vetenskapligt)abstract
    • KTH Royal Institute of Technology and Scania are entering the GCDC 2011 under the name Scoop –Stockholm Cooperative Driving. This paper is an introduction to their team and to the technical approach theyare using in their prototype system for GCDC 2011.
  • Mårtensson, Jonas, 1976-, et al. (författare)
  • The development of a cooperative heavy-duty vehicle for the GCDC 2011: Team Scoop
  • 2012
  • Ingår i: IEEE transactions on intelligent transportation systems (Print). - IEEE Press. - 1524-9050. ; 13:3, s. 1033-1049
  • Tidskriftsartikel (refereegranskat)abstract
    • The first edition of the Grand Cooperative Driving Challenge (GCDC) was held in the Netherlands in May 2011. Nine international teams competed in urban and highway platooning scenarios with prototype vehicles using cooperative adaptive cruise control. Team Scoop, a collaboration between KTH Royal Institute of Technology, Stockholm, Sweden, and Scania CV AB, Sodertalje, Sweden, participated at the GCDC with a Scania R-series tractor unit. This paper describes the development and design of Team Scoop's prototype system for the GCDC. In particular, we present considerations with regard to the system architecture, state estimation and sensor fusion, and the design and implementation of control algorithms, as well as implementation issues with regard to the wireless communication. The purpose of the paper is to give a broad overview of the different components that are needed to develop a cooperative driving system: from architectural design, workflow, and functional requirement descriptions to the specific implementation of algorithms for state estimation and control. The approach is more pragmatic than scientific; it collects a number of existing technologies and gives an implementation-oriented view of a cooperative vehicle. The main conclusion is that it is possible, with a modest effort, to design and implement a system that can function well in cooperation with other vehicles in realistic traffic scenarios.
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