Search for dissertations about: "internet of things and logistics"
Showing result 1 - 5 of 6 swedish dissertations containing the words internet of things and logistics.
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1. Self-Reliance for the Internet of Things: Blockchains and Deep Learning on Low-Power IoT Devices
Abstract : The rise of the Internet of Things (IoT) has transformed common embedded devices from isolated objects to interconnected devices, allowing multiple applications for smart cities, smart logistics, and digital health, to name but a few. These Internet-enabled embedded devices have sensors and actuators interacting in the real world. READ MORE
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2. Advance Traffic Signal Control Systems with Emerging Technologies
Abstract : Nowadays, traffic congestion poses critical problems including the undermined mobility and sustainability efficiencies. Mitigating traffic congestions in urban areas is a crucial task for both research and in practice. READ MORE
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3. Facility layout design with simulation-based optimization : A holistic methodology including process, flow, and logistics requirements in manufacturing
Abstract : Adaptability and flexibility are becoming key concepts in manufacturing. Today manufacturing companies often have to deal with random disruptive events, which necessitates significantly more complex manufacturing systems. READ MORE
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4. Distributed Immersive Participation : Realising Multi-Criteria Context-Centric Relationships on an Internet of Things
Abstract : Advances in Internet-of-Things integrate sensors and actuators in everyday items or even people transforming our society at an accelerated pace. This occurs in areas such as agriculture, logistics, transport, healthcare, and smart cities and has created new ways to interact with and experience entertainment, (serious) games, education, etc. READ MORE
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5. Attribute-based Approaches for Secure Data Sharing in Industry
Abstract : The Industry 4.0 revolution relies heavily on data to generate value, innovation, new services, and optimize current processes [1]. Technologies such as Internet of Things (IoT), machine learning, digital twins, and much more depend directly on data to bring value and innovation to both discrete manufacturing and process industries. READ MORE