Essays about: "Power circuit optimization"

Showing result 1 - 5 of 26 essays containing the words Power circuit optimization.

  1. 1. 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

  2. 2. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    University essay from KTH/Fysik

    Author : William Laius Lundgren; [2023]
    Keywords : Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Abstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE

  3. 3. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

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

    Author : Dimitrios Koutlis; [2023]
    Keywords : Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

    Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE

  4. 4. Investigation and evaluation of optical distance sensors

    University essay from Uppsala universitet/Signaler och system

    Author : Olof Wigzell; [2022]
    Keywords : optics; radiometry; senssor; microcontroller; irradiance; circuit design; calibration; validation;

    Abstract : Optical sensors are among the sensors that are often used for distance measurements. An optical distance sensor is basically made of a light emitter (Tx) such as a light emitting diode (LED), a light receiver (Rx) such as a photosensitive transistor, and a circuit supporting the operation of the Tx and Rx. READ MORE

  5. 5. Energy efficient Ericsson Many-Core Architecture (EMCA) IP blocks for 5G ASIC

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Zilin Zhang; [2021]
    Keywords : Technology and Engineering;

    Abstract : Power consumption has become a leading concern for SoC aimed at 5G products that demand increased functionality, smaller form factors, and low energy footprint. For some EMCA IP blocks a hierarchical clock gating mechanism ensures coarse-grained power savings based on actual processing need but for many blocks this approach cannot be employed. READ MORE