Essays about: "Inbyggda system"

Showing result 1 - 5 of 299 essays containing the words Inbyggda system.

  1. 1. INTRODUCTION OF CYBERSECURITY INTO VERIFICATION PROCESSES FOR CONSTRUCTION EQUIPMENT : Cybersecurity Verification

    University essay from Mälardalens universitet/Inbyggda system

    Author : Selam Fitsum Andemariam; [2024]
    Keywords : ;

    Abstract : Technology is evolving at a very fast pace in various domains, including the construction equipment industry. Although the increased automation and connectivity in different products, such as vehicles, heavy machinery, and many others, have advantages, they also have disadvantages. READ MORE

  3. 2. The State of Stateful Serverless Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ashmitha Ambastha; [2023]
    Keywords : Stateful Serverless Systems; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; Function-as-a-Service; Serverlösa system utan tillstånd; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; funktion som tjänst;

    Abstract : Serverless computing and Function-as-a-service are popular paradigms that simplify application development by abstracting the development layer from the underlying infrastructure components. These systems work in a pay-as-you-go model and provide an efficient environment for developers to focus entirely on developing their business logic. READ MORE

  4. 3. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  5. 4. Performance of 2-18 GHz RF Switches Implemented in Chip & Wire Technology : Analysis of switch topologies, bias networks and an in-depth EM analysis of bondwires

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Eliasson; [2023]
    Keywords : RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; High isolation; Single-Pole-Single-Throw; Single-Pole-Double-Throw RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; Single-Pole-SingleThrow; Single-Pole-Double-Throw; RF-omkopplare; PIN-diod; Chip Wire Tekonologi; Bredbandig; Hög isolation; Enkelpolig-enkakast; Enkelpolig-dubbelkast;

    Abstract : The ability to control the path a signal takes through microwave circuitry is crucial when designing RF systems. The component that allows for the control of the signal path is called a switch, and it is the microwave component that this thesis will focus on. READ MORE

  6. 5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE