Sökning: "danger prediction"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden danger prediction.

1. 1. Ocean rogue wave analysis for the development of safer navigation systems. : A Thesis submitted to the University of Gävle for the degree of Bachelor of Mathematics

   L3-uppsats, Högskolan i Gävle/Matematik

   Författare :Sergio Manzetti; [2023]
   Nyckelord :;

   Sammanfattning : Rogue waves are unexpectedly high waves of 2.5X the significant wave height and which occur in nearly all phases of nature, from  oceans, to fiber-optic cables and atmospheric air-masses. In the ocean, rogue waves pose a significant danger to shipping and fishing vessels and have been found to reach 27. LÄS MER

3. 2. Analysis and Simulation Study of Stochastic Time-To-Collision as a Severity Measure in Traffic Security

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Per Niklas Benzler Waaler; [2020]
   Nyckelord :time; collision; ttc; stochastic; probability; transform; transformation; traffic; data; under; estimation; post; encroachment; mixture; distribution; simulation; study; encounter; conflict; trajectory; prediction; road; user; safety; severity; surrogate; measure; Mathematics and Statistics;

   Sammanfattning : Traffic accidents are extremely rare, creating the need for surrogate methods for safety analysis that makes efficient use of the information provided by traffic conflicts, which also are limited in availability. The severity measure time-to-collision (TTC) in combination with extreme value theory have so far been one of the primary measures used to infer traffic safety levels, but it relies on unrealistic assumptions that results in severity measures that do not always agree well with observed danger. LÄS MER

4. 3. Effectiveness of the Altman Z-Score model : Does the Altman Z-Score model accurately capture the effects of Non-Performing Assets (NPA) in the Indian banking sector?

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)

   Författare :ASHA HARSHAVARDHAN KITTUR; [2019]
   Nyckelord :ALTMAN Z SCORE INDIA BANKS BANKRUPTCY INSOLVENCY SAFE DANGER GREY;

   Sammanfattning : The aim of this study is to measure the effectiveness of Altman’s Z-Score model using Non-performing assets (NPA) as a benchmark stability indicator. To do that, this paper examines if Altman’s Z Score Models capture the decline in financial health of the banks caused by the NPAs, using a two-fold analysis i.e. LÄS MER

5. 4. Lavinprognoser och maskininlärning : Att prediktera lavinprognoser med maskininlärning och väderdata

   Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

   Författare :Gustav Pettersson; John Almqvist; [2019]
   Nyckelord :machine learning; avalanche; avalanche forecast; weather; prediction model; XGBoost; logistic regression; MESAN;

   Sammanfattning : Denna forskningsansats undersöker genomförbarheten i att prediktera lavinfara med hjälp av ma-skininlärning i form avXGBoostoch väderdata. Lavinprognoser och meterologisk vädermodelldata harsamlats in för de sex svenska fjällområden där Naturvårdsveket genomlavinprognoser.sepublicerar lavin-prognoser. LÄS MER

7. 5. Danger prediction by modern technology : The role of wearable technology in improving workers’ situational awareness in hazardous industries

   Magister-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)

   Författare :Simon Lars Johan Larsson; [2019]
   Nyckelord :danger prediction; wearable technology; workers situational awareness; hazardous industries;

   Sammanfattning : The health and safety of workers is critically important to all companies, especially those operating in hazardous environments.  Companies typically rely on an array of personal protective equipment to help ensure the safety of their workers, however as technology evolves, a new generation of devices are helping revolutionize the industry. LÄS MER