Sökning: "gas-sensor"

Visar resultat 1 - 5 av 18 uppsatser innehållade ordet gas-sensor.

  1. 1. Design och implementering av en fjärrstyrd robotbil för inspektion och rekognosering av riskfyllda platser

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :John Chahrestan; Alias Habib Soumi; [2023]
    Nyckelord :Raspberry Pi 4; MCU; remote-controlled robot car; Raspberry Pi 4; MCU; fjärrstyrd robotbil;

    Sammanfattning : En kostnadseffektiv, liten robotbil som är fjärrstyrd via Wi-Fi harutformats och testats för att möjliggöra inspektion och identifiering avpotentiella faror vid olycksplatser. Robotbilenär avsedd att användasför rekognosering och inspektion och kan bidra till att utforma enadekvat insatsplan. LÄS MER

  3. 2. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

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

    Författare :Farbod Haselzadeh; [2021]
    Nyckelord :Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

    Sammanfattning : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. LÄS MER

  4. 3. Graffiti Detection using a variable temperature MOx sensor and Machine Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Mikael Kristensson; Christian Clemedtson; [2021]
    Nyckelord :MOX sensor; variable temperature; machine learning; graffiti; spray paint; Support Vector Machine; k-Nearest Neighbour; neural network; Mathematics and Statistics;

    Sammanfattning : MOx sensors are widely used for sensing gases. In this thesis a variable temperature MOx sensor was used to detect graffiti spray paint and differentiate it from other substances using the sensors sensitivity to different gases at different temperatures using machine learning. LÄS MER

  5. 4. Investigation and forecasting drift component of a gas sensor

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Farhana Chowdhury Tondra; [2021]
    Nyckelord :Time series analysis; Forecasting; ARIMA; LSTM; Sensor; SiC-FET; ADF test; Stochastic Trend; Deterministic Trend; Sensor Drift;

    Sammanfattning : Chemical sensor based systems that are used for detection, identification, or quantification of various gases are very complex in nature. Sensor response data collected as a multivariate time series signals encounters gradual change of the sensor characteristics(known as sensor drift) due to several reasons. LÄS MER

  7. 5. Wireless Gas Sensor Nodes : With focus on Long Range (LoRa) communication

    Kandidat-uppsats, Linköpings universitet/Elektroniska Kretsar och System

    Författare :David Kihlberg; Amir Ebrahimi; [2020]
    Nyckelord :LoRa; wireless gas sensor node; TTN;

    Sammanfattning : Greenhouse gas emissions in indoor or outdoor areas are dangerous and can have short- or long-term effects on people’s health. There are several methods to monitor the air quality in such environments. LÄS MER