Sökning: "Algoritm"

Visar resultat 16 - 20 av 1248 uppsatser innehållade ordet Algoritm.

  1. 16. A Markovian Approach to Financial Market Forecasting

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Kevin Sun Wang; William Borin; [2023]
    Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

    Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

  3. 17. Complexity Analysis and Structural Optimization for Architecture Models of Mechatronic Systems

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Yuanyang Zhang; [2023]
    Nyckelord :Mechatronic System Design; Architecture Model; DSM; Structural Complexity; Partitioning Optimization Design; Mekatronisk Systemdesign; Arkitektur Modell; DSM; Strukturell Komplexitet; Partitionering Optimering Design;

    Sammanfattning : The design and development of mechatronic system are becoming an increasingly complex task due to the numerous disciplines involved, rapidly increasing scales, and the integration issues of different domains and technologies. The structural complexity of the architecture model design decides the quality of system design in many aspects: the scalability of the system design; usage of allocated resources which influences the computational overhead, etc. LÄS MER

  4. 18. 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

  5. 19. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Kenan Zec; [2023]
    Nyckelord :Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

    Sammanfattning : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. LÄS MER

  7. 20. Ballbot : Quadrouped spherical robot

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Lucas Dahlberg; Felix Löfgren; [2023]
    Nyckelord :Mechatronics; Arduino; CAD; quadruped robot; electronics; Mekatronik; Arduino; CAD; fyrbäddsrobot; elektronik;

    Sammanfattning : This bachelor project in mechatronics aimed to design and build a versatile robot that can both roll and walk using four legs. Control of the robot’s movement was to be achieved by a joystick, with the ability to alter direction in both rolling and walking mode. However, due to time constraints, the rolling algoritm was not implemented. LÄS MER