Sökning: "olika hårdvara"

Visar resultat 1 - 5 av 322 uppsatser innehållade orden olika hårdvara.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

3. 2. Musikproduktion bortom skärmen – En studie i musikproduktion med hårdvarusynthar från ett datorfokuserat perspektiv

   Kandidat-uppsats, Göteborgs universitet/Högskolan för scen och musik

   Författare :Fred Jonsson; [2023-06-02]
   Nyckelord :Workflow; arbetsmetod; musikproduktion; hårdvara; mjukvara; synthesizer;

   Sammanfattning : I detta arbete ämnar författaren att utvärdera och ifrågasätta sin datorfokuserade arbetsmetod, d.v.s. att jobba främst med mjukvara, för att göra musik genom att utforska en hårdvarusynth, en faktisk fysisk synth. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiayi Feng; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

7. 5. A Comparison Between Implementations of Cryptographic Algorithms and Their Efficiency in Smartphone Computing Environments : Exploring the Performance Trade-offs of Performing Cryptographic Work in Different Smartphone Development Frameworks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ossian Dillner; [2023]
   Nyckelord :Cryptography; Security; Privacy; Smartphones; Kryptografi; Säkerhet; Integritet; Smartphones;

   Sammanfattning : In the recent decade concern for privacy has massively increased in the public consciousness. As a result of this development, demand for end-to-end secure communications in all manner of applications has also seen a rapid increase. This development can however often be at odds with other consumer demands. LÄS MER