Se propone un método basado en la distancia de Hellinger y la función de densidad de probabilidad de señales (Photo Response Non-Uniformity [PRNU]) para identificar el dispositivo de captura de imágenes digitales. El método asocia una imagen digital no modificada (imagen en disputa) con uno de un conjunto de dispositivos de captura candidatos, al comparar la huella digital insertada en la imagen en disputa contra la base de datos creada con las huellas digitales de los dispositivos de captura. El método propuesto se implementó en MatlabTM para demostrar su funcionamiento, luego se comparó en un caso de estudio controlado contra dos métodos diferentes: uno propuesto por Goljan et al. (2009) con un porcentaje de similitud promedio del 100% y el otro por Quintanar-Reséndiz et al. (2021) con el 99.35%, y para el método propuesto resultó ser de 97.68%.
Trading consists of purchasing and selling listed assets with high market liquidity such as: stocks, currencies and futures. then this financial market is used electronically and it is regulated (the trading and generation price is freely agreed through a negotiation process between the consumer and the trader. ). One of its objective is to obtain an economic benefit when the operation generates a capital income , repeating the process for a considerable number of operations, therefore it makes it possible to increase the initial capital. This article will approach the implementation of an algorithmic trading model which can help to maximize the profitability of a portfolio for cryptocurrency assets based on the application, combination and weighting of some of the most advanced mathematical techniques using the Python programming language, its libraries and some other tools in a controlled development environment and also guided by a previous research and training based on the topics planned for the completion and satisfaction of the project.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.