Essays about: "fuel consumption THESIS"

Showing result 1 - 5 of 358 essays containing the words fuel consumption THESIS.

  1. 1. Learning a Grasp Prediction Model for Forestry Applications

    University essay from Umeå universitet/Institutionen för fysik

    Author : Elias Olofsson; [2024]
    Keywords : Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

    Abstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. READ MORE

  2. 2. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level

    University essay from SLU/Department of Molecular Sciences

    Author : Ida Ekqvist; [2024]
    Keywords : Land use efficiency; Sustainability indicators; Agricultural productivity; Food production;

    Abstract : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. READ MORE

  3. 3. Energy efficiency and fiscal incentives : A stochastic frontier analysis of Swedish manufacturing sectors 2008-2020

    University essay from Umeå universitet/Nationalekonomi

    Author : William Blombäck; [2024]
    Keywords : ;

    Abstract : This thesis is a case study of the Swedish manufacturing industry in which I measure how efficiently each sector uses energy (fuel and electricity) as input goods in their production processes, and how significant the impact of Sweden’s energy tax is in regard to energy efficiency. The purpose of this is to analyze energy security and preparedness for short-term demand shocks for electricity, as many ‘mega-investments’ of industrial nature are being planned in Sweden – which are predicted to require the installed capacity of Sweden’s electricity production to almost double by 2045. READ MORE

  4. 4. Integrating Weather Conditions in Truck Route Optimization : Maximizing Utilization and Cost-effectiveness

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Sigrid Stenbratt; Paulina Lundell; [2023]
    Keywords : Weather conditions; truck; route optimization; company; maximizing utilization; research; profit; selecting; price; fuel; equation; product development; innovation; algorithm; cost-effectiveness; Matlab; Innovation Engineer; consumption; Halmstad University; Thesis; Volvo group trucks technology; Stenbratt; Lundell; Utvecklingsingengör;

    Abstract : Abstract The focus of the thesis is researching how to optimize a certain route, highlighting theimportance of weather conditions in the context of optimizing truck routes. Additionally, itemphasizes the goals of maximizing human utilization and cost-effectiveness. READ MORE

  5. 5. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

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

    Author : August Söderlund; [2023]
    Keywords : Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

    Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE