Search for dissertations about: "Engineering Science with specialization in industrial engineering and management"

Showing result 6 - 10 of 12 swedish dissertations containing the words Engineering Science with specialization in industrial engineering and management.

  1. 6. Problematizing Sustainable ICT

    Author : Per Fors; Thomas Taro Lennerfors; Marcus Lindahl; Saara Taalas; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Sustainable ICT; Sustainable human-computer interaction; Green IT; Problematization; Sustainable entrepreneurship; Engineering Science with specialization in industrial engineering and management; Teknisk fysik med inriktning mot industriell teknik;

    Abstract : How should we understand the relationship between information and communication technology (ICT) and sustainability? Generally, it is assumed that while ICT products contribute to many environmental and social problems as they are produced and disposed of, the potential of using ICT to achieve a more sustainable society is immense. However, despite the fact that such a discourse is favored not only in the industrial but also in the political and academic spheres, we have yet to see this presumed sustainability-related potential of ICT fully exploited. READ MORE

  2. 7. Scalable Data Management for Internet of Things

    Author : Khalid Mahmood; Tore Risch; Kjell Orsborn; Georgios J Fakas; Erik Zeitler; Vera Goebel; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NoSQL; IoT; Smart Computing; MongoDB; IIoT; Data Streams; Edge Computing; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Abstract : Internet of Things (IoT) often involve considerable numbers of sensors that produce large volumes of data. In this context, efficient management of data could potentially enable automatic decision making based on analytics of sensors on equipment. READ MORE

  3. 8. The Digital Transformation of the Manufacturing Industry : Metamorphic Changes and Value Creation in the Industrial Network

    Author : Vincent Fremont; Enrico Baraldi; Cecilia Lindh; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Industrial Networks; Industrial Marketing and Purchasing; Resource Interaction; Digital Transformation; Industry 4.0; Engineering Science with specialization in industrial engineering and management; Teknisk fysik med inriktning mot industriell teknik;

    Abstract : The Industry 4.0 trend poses many challenges for the manufacturing industry and societies generally. The trend presents new challenges and opportunities related to industrial competitiveness and sustainability, as industrial firms adopt digital technologies to change how they interact and exchange data across their industrial network. READ MORE

  4. 9. Organizing Interactive Product Development

    Author : Fredrik Von Corswant; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; interaction; relationship; network; resources; automotive; dependence; interorganizational; organizing; product development;

    Abstract : This thesis deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. READ MORE

  5. 10. Real-time data stream clustering over sliding windows

    Author : Sobhan Badiozamany; Tore Risch; Tamer Özsu; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data streaming; Sliding windows; Clustering; ; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Abstract : In many applications, e.g. urban traffic monitoring, stock trading, and industrial sensor data monitoring, clustering algorithms are applied on data streams in real-time to find current patterns. Here, sliding windows are commonly used as they capture concept drift. READ MORE