Sökning: "HUMAN"

Visar resultat 1 - 5 av 10123 uppsatser innehållade ordet HUMAN.

  1. 1. City Safety Event Classification using Machine Learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Natalia Jurczynska; [2019-11-21]
    Nyckelord :Data Science; machine learning; time series analysis; binary classification; data pre-processing; feature engineering; thesis;

    Sammanfattning : City safety technology aims to reduce vehicle collisions using activated warningsand braking based on automated detection of environmental threats. However, automaticdetection of tentative collisions may differ from driver perception, leadingto false positive activations. LÄS MER

  2. 2. Supporting personalisation of ADAS through driver characteristics - a design science study

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Filip Walldén; Simon Löfving; Boyan Dai; [2019-11-18]
    Nyckelord :Driver Characteristics; ADAS; Requirements Engineering;

    Sammanfattning : The identification of driver characteristics is an importantstep to allow the adaptation of Advanced Driver Assistance Systems(ADAS) to individual driver needs, and thus increase system performanceand trust in the system function. However, most ADAS are designed forthe average driver and we investigated which driving characteristics arerelevant for personalised features, and how to derive them using Requirementelicitation. LÄS MER

  3. 3. Traceability of Human Error Production Defects in Automotive Manufacturing

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Chiara Lucatello; Chatchai Sornkarn; [2019-11-12]
    Nyckelord :Error detection; in-and-out; logging process; Inputting process; Technological frames; Usability; Traceability; Process improvement; Factory automation;

    Sammanfattning : Many global automotive industries have movedtowards factory automation, yet several still rely on collectingmanual data from the plant floor and manually inputting thedata into the management quality system in the assembly line. Inthis case study research, the objective of our study was to observehow technology advancement can be supported for human errorlogging in the quality assurance process. LÄS MER

  4. 4. AI Safe Exploration: Reinforced learning with a blocker in unsafe environments

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Marco Koivisto; Philip Crockett; Axel Spångberg; [2019-11-12]
    Nyckelord :Artificial Intelligence; Reinforcement learning; Safe exploration; Blocker; Machine Learning; Baby AI Game; Gym Mini Grid;

    Sammanfattning : Artificial intelligence can be trained with a trial anderror based approach. In an environment where a catastrophecan not be accepted a human overseer can be used, but thismight lower the efficiency of the learning. LÄS MER

  5. 5. ARTIFICIAL INTELLIGENCE: HOW AI IS UNDERSTOOD IN THE LIGHT OF DEMOCRACY AND HUMAN RIGHTS. A comparative case study of Sweden, France and the European Commission

    Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Sebastian Delic; [2019-11-05]
    Nyckelord :artificial intelligence; democracy; human rights; regulation; Sweden; France; the European Commission;

    Sammanfattning : In recent years, artificial intelligence has become increasingly discussed and it is predicted to have a major impact on our societies in the future, having positive effects but could potentially be negative for democracy. In this paper, I investigate how artificial intelligence will affect human rights and democracy, where I critically evaluate the framing of problems, solutions and regulatory work of three cases. LÄS MER