Sökning: "Resource system models"

Visar resultat 16 - 20 av 260 avhandlingar innehållade orden Resource system models.

  1. 16. Unlocking Potentials of Innovation Systems in Low Resource Settings

    Författare :Julius Ecuru; Blekinge Tekniska Högskola; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Cluster; Innovation; Innovation System; Low resource setting; Research; Science; Technology; Technoscience; Triple Helix; Uganda;

    Sammanfattning : This study examined the dynamics, challenges and opportunities of developing innovation systems in low resource settings with a particular focus on Uganda. It applied perspectives of technoscience and concepts of innovation systems, triple helix as university-industry-government relationships, mode 2 knowledge production and situated knowledges in understanding the context, identifying key policy issues and suggesting ways to address them. LÄS MER

  2. 17. Timing and Schedulability Analysis of Real-Time Systems using Hidden Markov Models

    Författare :Anna Friebe; Thomas Nolte; Alessandro Papadopoulos; Filip Markovic; Liliana Cucu-Grosjean; Mälardalens universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; datavetenskap;

    Sammanfattning : In real-time systems functional requirements are coupled to timing requirements, a specified event needs to occur at the appropriate time.  In order to ensure that timing requirements are fulfilled, there are two main approaches, static and measurement-based. LÄS MER

  3. 18. Adaptive Design for Circular Business Models in the Automotive Manufacturing Industry

    Författare :Thomas Nyström; RISE; []
    Nyckelord :Circular Business Models; Product Service System; Business and Design Logic; Circular Economy; Design for Circular Business Models;

    Sammanfattning : The vision of a circular economy (CE) promises both profitability and eco-sustainability to industries, and can, from a material and energy resource flow perspective, be operationalized by combining three business and design strategies: closing loops; narrowing and slowing down resource flows by material recycling, improving resource efficiency; and by extending product life by reuse, upgrades and remanufacturing. These three strategies are straightforward ways for industries to radically reduce their use of virgin resources. LÄS MER

  4. 19. Radio Network Planning and Resource Optimization : Mathematical Models and Algorithms for UMTS, WLANs, and Ad Hoc Networks

    Författare :Iana Siomina; Di Yuan; Peter Värbrand; Arie Koster; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; planning; optimization; wireless networks; radio resources; UMTS; WLAN; ad hoc; Telecommunication; Telekommunikation;

    Sammanfattning : The tremendous popularity of wireless technologies during the last decade has created a considerable expansion of wireless networks both in size and use. This fact, together with a great variety of mobile devices and numerous di®erent services that are becoming increasingly resourcedemanding, have attracted the attention of many researchers into the area of radio resource planning and optimization. LÄS MER

  5. 20. Autonomous cloud resource provisioning : accounting, allocation, and performance control

    Författare :Ewnetu Bayuh Lakew; Erik Elmroth; Hiaohui (Helen) Gu; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cloud computing; distributed infrastructure; monitoring; accounting; performance modeling; service differentiation; business data processing; administrativ databehandling;

    Sammanfattning : The emergence of large-scale Internet services coupled with the evolution of computing technologies such as distributed systems, parallel computing, utility computing, grid, and virtualization has fueled a movement toward a new resource provisioning paradigm called cloud computing. The main appeal of cloud computing lies in its ability to provide a shared pool of infinitely scalable computing resources for cloud services, which can be quickly provisioned and released on-demand with minimal effort. LÄS MER