SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Sandström Kristian) "

Search: WFRF:(Sandström Kristian)

  • Result 1-10 of 45
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  • Aranda Muñoz, Alvaro, et al. (author)
  • Co-Designing with AI in Sight
  • 2022
  • In: Proceedings of the Design Society. - : Cambridge University Press (CUP). - 2732-527X. ; 2, s. 101-110, s. 101-110
  • Journal article (peer-reviewed)abstract
    • Artificial Intelligence offers a wide variety of capabilities that can potentially address people's needs and desires in their specific contexts. This pilot study presents a collaborative method using a deck of AI cards tested with 58 production, AI, and information science students, and experts from an accessible media agency. The results suggest that, with the support of the method and AI cards, participants can ideate and reach conceptual AI solutions. Such conceptualisations can contribute to a more inclusive integration of AI solutions in society.
  •  
3.
  • Aranda Muñoz, Alvaro, et al. (author)
  • THE KARAKURI CARD DECK: CO-DESIGNING INDUSTRIAL IOT CONCEPTUAL SOLUTIONS
  • 2020
  • In: Proceedings of INTERNATIONAL DESIGN CONFERENCE – DESIGN 2020. - : Cambridge University Press (CUP). - 2633-7762. ; 1, s. 807-816
  • Conference paper (peer-reviewed)abstract
    • Novel IoT market solutions and research promise IoT modules that do not require  programming or electrical setup, yet shop floor personnel need to face problem solving  activities to create technical solutions. This paper introduces the Karakuri card deck and  presents a case study composed of four workshop sessions in four manufacturing settings,  where shop floor personnel tested the cards as a means of ideating and presenting  conceptual IoT solutions in the form of diagrams. The results indicate the validity of the  proposed conceptual solutions and suggest prototyping as a next step.
  •  
4.
  • Aranda Muñoz, Alvaro, et al. (author)
  • TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR
  • 2021
  • In: Proceedings of the Design Society. - : Cambridge University Press (CUP). - 2732-527X. ; 1, s. 3149-3158
  • Journal article (peer-reviewed)abstract
    • The availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.
  •  
5.
  • Becker, Matthias, 1986-, et al. (author)
  • A Many-Core based Execution Framework for IEC 61131-3
  • 2015
  • In: IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. ; , s. 4525-4530
  • Conference paper (peer-reviewed)abstract
    • Programmable logic controllers are widely used for the control of automationsystems. The standard IEC 61131-3 defines the execution model as well as theprogramming languages for such systems. Nowadays, actuators and sensorsconnect to the programmable logic controller via automation buses. While suchbuses, as well as the sensors and actuators, become more and more powerful, ashift away from the current distributed operation of automation systems, closeto the field level, becomes possible. Instead, execution of complex controlfunctions can be relocated to more powerful hardware, and technologies. Thispaper presents an execution framework for IEC 61131-3, based on a many-coreprocessors. The presented execution model exploits the characteristics of theIEC 61131-3 applications as well as the characteristics of the many-core processor,yielding a predictable execution. We present the platform architectureand an algorithm to allocate a number of IEC 61131-3 conform applications.Experimental as well as simulation based evaluation is provided.
  •  
6.
  • Becker, Matthias, et al. (author)
  • Dynamic Power Management for Thermal Control of Many-Core Real-Time Systems
  • 2014
  • In: Sigbed Review. - : Association for Computing Machinery (ACM). - 1551-3688. ; 11:3, s. 26-29
  • Journal article (peer-reviewed)abstract
    • Many-Core systems, processors incorporating numerous cores interconnected by a Network on Chip (NoC), provide the computing power needed by future applications. High power density caused by the steadily shrinking transistor size, which is still following Moore's law, leads to a number of problems such as overheating cores, affecting processor reliability and lifetime. Embedded real-time systems are exposed to a changing ambient temperature and thus need to adapt their configuration in order to keep the individual core temperature below critical values. %Targeting embedded real-time systems, systems need to adapt to changing environments. In our approach a hysteresis controller is implemented on each core, triggering a redistribution of the cores and the transition into idle state allowing the core to cool down. We propose two approaches, one global and one local approach, to redistribute the tasks and relive overheating cores during runtime. We evaluate the two proposed approaches by comparing them against each other based on simulations.
  •  
7.
  • Becker, Matthias, 1986- (author)
  • Efficient Resource Management for Many-Core based Industrial Real-Time Systems
  • 2015
  • Licentiate thesis (other academic/artistic)abstract
    • The increased complexity of today’s industrial embedded systems stands inneed for more computational power while most systems must adhere to a restrictedenergy consumption, either to prolong the battery lifetime or to reduceoperational costs. The many-core processor is therefore a natural fit. Due tothe simple architecture of the compute cores, and therefore their good analyzability,such processors are additionally well suited for real-time applications.In our research, we focus on two particular problems which need to be addressedin order to pave the way into the many-core era. The first area is powerand thermal aware execution frameworks, where we present different energyaware extensions to well known load balancing algorithms, allowing them todynamically scale the number of active cores depending on their workload.In contrast, an additional framework is presented which balances workloadsto minimize temperature gradients on the die. The second line of works focuseson industrial standards in the face of massively parallel platforms, wherewe address the automotive and automation domain. We present an executionframework for IEC 61131-3 applications, allowing the consolidation of severalIEC 61131-3 applications on the same platform. Additionally, we discussseveral architectural options for the AUTOSAR software architecture on suchmassively parallel platforms.
  •  
8.
  • Becker, Matthias, et al. (author)
  • Increased Reliability of Many-Core Platforms through Thermal Feedback Control
  • 2014
  • In: Performance, Power and Predictability of Many-Core Embedded Systems 3PMCES'14. - Dresden, Germany.
  • Conference paper (peer-reviewed)abstract
    • In this paper we present a low overhead thermal management approach to increase reliability of many-core embedded real-time systems. Each core is controlled by a feedback controller. We adapt the utilization of the core in order to decrease the dynamic power consumption and thus the corresponding heat development. Sophisticated control mechanisms allow us to migrate the load in advance, before reaching critical temperature values and thus we can migrate in a safe way with a guarantee to meet all deadlines.
  •  
9.
  • Becker, Matthias, et al. (author)
  • Mapping Real-Time Tasks onto Many-Core Systems considering Message Flows
  • 2014
  • In: Proceedings of the Work-in-Progress Session of the 20th IEEE Real-Time and Embedded Technology and Applications Symposium. - Berlin, Germany. ; , s. 17-18
  • Conference paper (peer-reviewed)abstract
    • In this work we focus on the task mapping problem for many-core real-time systems. The growing number of cores connected by a Network-on-Chip (NoC) calls for sophisticated mapping techniques to meet the growing demands of real-time applications. Hardware should be used in an efficient way such that unnecessary resource usage is avoided. Because of the NP-hardness of the problem, heuristic and meta-heuristic techniques are used to find good solutions. We further consider periodic communication between tasks and we focus on a static mapping solution.
  •  
10.
  • Begum, Shahina, et al. (author)
  • Towards a Compositional Service Architecture for Real-Time Cloud Robotics
  • 2016
  • In: ACM SIGBED Review. - : Association for Computing Machinery (ACM). - 1551-3688. ; , s. 63-64
  • Journal article (peer-reviewed)abstract
    • In this paper we present our ongoing work towards a compositional service architecture that integrates cloud technology for computational capacity targeting real-time robotics applications. In particular we take a look at the challenges inherent within the data center where the services are executing. We outline characteristics of the services used in the real-time cloud robotics application, along with the service management and corresponding task model used to execute services. We identify several key central challenges that must be addressed towards integrating cloud technology in real-time robotics.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 45
Type of publication
conference paper (24)
journal article (8)
doctoral thesis (6)
reports (2)
other publication (2)
licentiate thesis (2)
show more...
book chapter (1)
show less...
Type of content
peer-reviewed (31)
other academic/artistic (14)
Author/Editor
Sandström, Kristian (38)
Nolte, Thomas (15)
Behnam, Moris (9)
Yamamoto, Yuji (7)
Aranda Muñoz, Alvaro (6)
Crnkovic, Ivica (3)
show more...
Lisper, Björn (3)
Eriksson, Yvonne, 19 ... (3)
Florin, Ulrika, 1964 ... (3)
Fröberg, Joakim (3)
Mubeen, Saad (2)
Lundkvist, Åke (2)
Ericsson, Niclas (2)
Lennerstrand, Johan (2)
Sandström, Anja, 197 ... (2)
Krambrich, Janina (2)
Gullberg, Hjalmar (2)
Sandberg, Kristian (2)
Norström, Christer (2)
Larsson, Stig (2)
Becker, Matthias, 19 ... (2)
Kihlberg, Jan (1)
Abdurakhmanov, Eldar ... (1)
Törngren, Martin, 19 ... (1)
Carlson, Jan (1)
Nolte, Thomas, Profe ... (1)
Behnam, Moris, Senio ... (1)
J. Bril, Reinder (1)
Behnam, Moris, 1973- (1)
Leon, Miguel (1)
Larsson, Thomas B. (1)
Begum, Shahina (1)
Funk, Peter, 1957- (1)
Jansen, Anton (1)
Akaberi, Dario (1)
Akaberi, Dario, 1989 ... (1)
Järhult, Josef D., 1 ... (1)
Pourghasemi Lati, Mo ... (1)
Berger, Julia (1)
Turunen, Pauliina (1)
Moche, Martin (1)
Chinthakindi, Pravee ... (1)
Nyman, Tomas (1)
Verho, Oscar, 1986- (1)
Danielson, U. Helena ... (1)
Papadopoulos, Alessa ... (1)
Carlsson, Jens (1)
Atilaw, Yoseph (1)
Ranjbar, Zohreh (1)
Liu, Meng (1)
show less...
University
Mälardalen University (37)
RISE (11)
Royal Institute of Technology (3)
Uppsala University (2)
Stockholm University (1)
Karolinska Institutet (1)
Language
English (45)
Research subject (UKÄ/SCB)
Engineering and Technology (21)
Natural sciences (7)
Medical and Health Sciences (2)
Humanities (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view