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Showing result 1 - 5 of 20 essays matching the above criteria.

  1. 1. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

    University essay from Lunds universitet/Miljö- och energisystem

    Author : Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
    Keywords : Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

    Abstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE

  3. 2. Assessment of the energetic feasibility of a novel CHP biorefinery concept

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Ângelo Miguel Mendes Ferreira; [2023]
    Keywords : biorefinery; bioenergy; biomimicry; combined heat and power; Earth Power Lodge; Technology and Engineering;

    Abstract : This study investigates the potential for energetic self-reliance in an integrated biore- finery, the Earth Power Lodge (EPL), which aims to convert waste into valuable by- products through bio- and thermochemical conversion processes. The primary questions addressed include assessing the necessity of external propane to sustain the pyrolysis process and the net energy output of the ThermoChemical Reactor (TCR) process when fractional distillation is applied to the resulting bio-oils. READ MORE

  4. 3. Simulation and Testing of a MU-MIMO Beamforming System

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

    Author : Nazyar Mehdishishavan; Zonghan Wang; [2023]
    Keywords : Multi-User Multiple-Input Multiple-Output MU-MIMO ; Beamforming; Sounding Reference Signal SRS ; Reciprocity-based; Butler matrix; Advanced Antenna System AAS ; Technology and Engineering;

    Abstract : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. READ MORE

  5. 4. Automated High-Temperature Pressure Sensor Verification and Characterization

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Algirdas Bartkevicius; [2023]
    Keywords : Pressure sensor; sensor verification; sensor characterization; piezoelectric sensor; dynamic pressure sensor;

    Abstract : Gas turbines are widely used in power generation. Monitoring pressure variations in the combustion chamber allows for real-time assessment of the turbines performance, and can be used to optimize combustion processes, leading to reduced emissions. READ MORE

  6. 5. A Holistic Framework for Analyzing the Reliability of IoT Devices

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

    Author : Leonardo Manca; [2023]
    Keywords : Canvas Learning Management System; Docker containers; Performance tuning Performance tuning; Internet of Things IoT ; Reliability; Failure rate; Availability; Comprehensive framework; IoT architecture; Failure modes; Reliability Block Diagram RBD ; Prestandajustering; Sakernas internet IoT ; Tillförlitlighet; Felfrekvens; Tillgänglighet; Heltäckande ramverk; IoT-arkitektur; Felfunktioner; Till-förlitlighetsblockdiagram RBD Canvas Lärplattform; Dockerbehållare; Prestandajustering;

    Abstract : In the rapidly evolving landscape of the Internet of Things (IoT), ensuring consistency and reliability becomes a top priority for a seamless user experience. In many instances, reliability is assessed through Quality of Service (QoS) metrics, sidelining traditional reliability metrics that thrive on time-dependent failure rates. READ MORE