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Item type:Publication, Design of an IoT prototype for the prevention of robberies in the young areas of Lima(Seventh Sense Research Group, 2022-09-01)Latin America is affected by citizen insecurity; street robberies are frequent. In Peru, this scenario is alarming; according to studies and reports presented by the authorities, it is estimated that a monthly average of 1,5348 robberies are reported every month. Lima, being the main capital, is exposed to a greater number of assaults, especially in young areas; because of this, in this research work, an IoT design was presented, which consists of a system of alarms implemented in specific areas where the complaint rate is higher. This alarm will be activated through a mobile application installed on the user's smartphone, This way; the user can turn on the alarm in case they witnesses or is the victim of a robbery; the application will send an alert message to the nearest authorities to take action on the scare. The Scrum Methodology was used as a methodology because its framework is adapted to the needs of this research. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predictive analytics to determine the Bitcoin price rise using machine learning techniques(Seventh Sense Research Group, 2022-03-01)As we know, today there have been several variations in the price of Bitcoin as it is not stable, that is to say, the price of Bitcoin rises and falls exaggeratedly as there are several factors that focus on the opening and closing price values of Bitcoin, also the highest and lowest Bitcoin price values reached in a day. Bitcoin price is determined by supply and demand. If user demand for this cryptocurrency is high, the price will increase and if it is very low, will go to. The price of Bitcoin has fluctuated considerably in recent years. This means that it is constantly changing and is in a stable range without major changes. In this paper, a machine learning method, also called Machine Learning, is proposed, which will allow us to automatically search and interpret relevant information from a large amount of data. Machine learning is the branch of artificial intelligence science that creates automated learning systems. In the case study, the Recurrent Neural Network (LSTM) algorithm will be used for the predictive analysis of Bitcoin value. Recurrent Neural Networks are network layers for analyzing time series and time-series data. An LSTM recurrent neural network aims to learn long-term dependencies; that is to say, learn the dependencies of future values of a sequence on previous values. The results of this research work showed that, by applying the Machine Learning technique and the LSTM algorithm, it was possible to predict the Bitcoin price increase. These results could benefit different companies or financial institutions in the investment of money with the help of Bitcoin. Companies such as Microsoft, Destinia, WordPress, among many others, already allow purchases with bitcoins, or other cryptocurrencies, on their websites.