Essays about: "Emission prediction"

Showing result 1 - 5 of 31 essays containing the words Emission prediction.

  1. 1. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE

  2. 2. CONSTRUCTION EQUIPMENT FUEL CONSUMPTION DURING IDLING : Characterization using multivariate data analysis at Volvo CE

    University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

    Author : Mujtaba Hassani; [2020]
    Keywords : Idling condition; environmental effect; diesel fuel; machine learning; multivariate data analysis; partial least square regression; support vector machine regression; principal component analysis; principal component regression; correlation coefficient matrix; artificial neural network; exhaust emission reduction techniques; global warming; emission regulation; CO2 estimation techniques; Gaussian process regression;

    Abstract : Human activities have increased the concentration of CO2 into the atmosphere, thus it has caused global warming. Construction equipment are semi-stationary machines and spend at least 30% of its life time during idling. The majority of the construction equipment is diesel powered and emits toxic emission into the environment. READ MORE

  3. 3. A Fabry–Pérot Cavity for Rare-Earth-Ion-Doped Nanocrystals

    University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionen

    Author : Andre Nüsslein; [2019]
    Keywords : Quantum Computer; Rear Earth Ions; Cavity; Laser; Cavity Quantum Electrodynamics; QED; Solidworks; Physics and Astronomy;

    Abstract : This thesis work contributes to the effort of detecting single rare earth ions doped into crystals, an operation crucial for the development of rare earth quantum computer hardware. Doping crystals with rare earth elements, their trivalent ions substitute some of the crystal’s original bonds. READ MORE

  4. 4. Predictive Maintenance of NOx Sensor using Deep Learning : Time series prediction with encoder-decoder LSTM

    University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Author : Bharadwaj Reddy Kumbala; [2019]
    Keywords : Deep Learning; Predictive Maintenance; LSTM; NOx sensor; Time series prediction; Regression.;

    Abstract : In automotive industry there is a growing need for predicting the failure of a component, to achieve the cost saving and customer satisfaction. As failure in a component leads to the work breakdown for the customer. This paper describes an effort in making a prediction failure monitoring model for NOx sensor in trucks. READ MORE

  5. 5. Dynamic Stark Shaping of Molecular Fate

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Sharon Berkowicz; [2019]
    Keywords : Dynamic Stark effect; Dynamic Stark Control; Oxygen; Photodissociation; Photochemistry; Laser Spectroscopy; Dynamiska Starkeffekten; Dynamisk Starkkontroll; Syre; Fotodissociation; Fotokemi; Laserspektroskopi;

    Abstract : The dynamic (ac) Stark effect refers to the energy shifting of electronic states induced by an oscillating electric field. Conveniently, the magnitude of the ac Stark shift scales with the square of the electric field amplitude, i.e. with light intensity. READ MORE