Search results for " ALGORITHM"

Clean Agent Selection Approached by Fuzzy TOPSIS Decision-Making Method

2008

Abstract. It is well known that halons are ozone-depleting substances and their release into the atmosphere has contributed in the last decades to the reduction in the ozone layer. In consequence to the Montreal Protocol, an international agreement designed to gradually eliminate the use of such substances, fire protection industry researchers faced the challenge of finding effective solutions to replace halon extinguishers. This research aims to provide a method to support the decision maker in the selection of the most suitable extinguisher substance for a specific application. According to such framework, a set of quantitative and qualitative criteria has been established in the decision…

Intelligent Tutoring System in Archaeology

2019

A method that uses artificial intelligence for the taxonomical characterization of bone remains in archaeological sites is shown. The main goal of this method is to help students and archaeologists in the classification of samples in order to improve the efficiency of their tasks during the campaigns at archaeological sites. The development of the system implies several steps: training of classification algorithms, development of a user-friendly interface and implementation of gamification techniques to improve learning motivation and the efficiency of the system in the learning process. This system will help archaeology students to classify new samples. In this prototype, by introducing ch…

Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

Demonstrating measure-correlate-predict algorithms for estimation of wind resources in central Finland

2010

In this study, measure-correlate-predict (MCP) algorithms - Simple Linear Regression and Variance Ratio Methods - for predicting wind speed were studied. The MCP algorithms were successfully used to predict missing wind speeds at two sites in Jyväskylä and Viitasaari, respectively. These two algorithms used data from one of the site to predict missing wind speed data at the other site. The results obtained using the MCP methods were compared using metrics that showed the characteristics of the predicted data to be unbiased compared to measured data. From the data of this study, we also evaluated wind power density at both sites which categorized the local wind resources as poor since the de…

Model organisms and their application in environmental epigenetics

2020

Abstract Epigenetic mechanisms operate at the interface between the environment and the genome of a given organism. More particularly, they convert environmental stimuli as diverse as chemical pollutants, nutritional components, temperature changes, and social conditions into changes in the chromatin landscape, which influence gene expression in the absence of alterations in the DNA sequence, ultimately leading to phenotype adaptation and diversification. The use of experimental model organisms in epigenetics research allows for the careful manipulation of environmental factors in order to understand how they mechanistically modulate the establishment, maintenance, and inheritance of epigen…

Reliable Outer Bounds for the Dual Simplex Algorithm with Interval Right-hand Side

2013

International audience; In this article, we describe the reliable computation of outer bounds for linear programming problems occuring in linear relaxations derived from the Bernstein polynomials. The computation uses interval arithmetic for the Gauss-Jordan pivot steps on a simplex tableau. The resulting errors are stored as interval right hand sides. Additionally, we show how to generate a start basis for the linear programs of this type. We give details of the implementation using OpenMP and comment on numerical experiments.

Generating TV summaries for CE-devices

2002

Automatically generated summaries of TV content are indispensable for content selection and navigation in CE-devices. We show two different types of summaries: Short video trailers and visual overviews consisting of representative frames. The demo does not only show the feasibility of the proposed algorithms, but also shows how different types of generated summaries can be used in future CE-devices.

Ģenētiskais algoritms optimizācijas metodēs

2017

Bakalaura darbā tiek aprakstīts ģenētiskais algoritms, kas ir viens no optimizācijas metožu jaunākajiem un mazāk pazīstamajiem algoritmiem. Teorijas apskatā aplūkots ģenētiskā algoritma konstrukcijas elementi: derīguma (fitness) funkcijas izveide, reproducēšanās, krustošanās un mutāciju operatori. Praktiskajā pielietojumu daļā apskatīti vairāki piemēri (tanī skaitā ceļojošā pārdevēja problēma). Piemēru realizācija veikta ar paketi R .Sniegts neliels metožu salīdzinājums.