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The video sequence analysis is a very important topic at the time of using this strategy for surveillance in security places. Semantic representation of the success of the video: person recognition, tracking objects, vehicles, dangerous places, generation of alarms is the principal goal of this work from the storage of the collection of the data obtained by means of IP cameras. We use ontologies t]...
3D printing is a production process that has existed for three decades but its massive appearance is more recent. RepRap is a project created with the goal that more people have access to a open source low cost 3D printer. This research has been conducted based on knowledge shared by this community following their guidelines in order to take a step forward in the development of technology and cooperate...
The study of mechanisms to faciliate the economic development of social groups is of vital importance to social scientists. One of the major contributions to development is the creation of economic clusters that are used together to achieve specific objectives. This consists of identifying business groups, companies, or muncipalities that are spacely disseminated. In this research, we propose a methodolgy,...
Working with human behavior is very important, mainly if we consider the neuroscience impact over the security systems. We propose to discover the alarm behavior in different contexts, our study is based on movement expression and describe their behavior with positive and negative alerts values from fuzzy and Bayesian algorithms. The methodology used to provide our framework, to make it much more...
The analysis of the human migration process has been studied in various fields of science. This work, focuses on migration indicators proposed by the International Migration Policy, with the aim of identifying the most important indicator from the point of view of data mining. This study identifies migrant stock as the most important factor related to the values obtained by the F1Score and the ROC...
The way universities should be evaluated is a key element in recent times in order to seek the improvement of university quality. Knowing what kind of variables should be taken into account in the collection of information, as well as knowledge and analysis of the data. In this paper we propose a way to obtain a mechanism to evaluate the way on how universities work which is known as metaevaluation...
According to the principle of legality, impartial judicial procedures should be adopted in a court of law. In this study, we analyzed this principle by examining judicial decisions. We determined that court judgments consist of an emotional content, which implies that the principle of neutrality is not fully met. However, our initial findings generate sufficient evidence to identify the existence...
The identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that authorize the identification of which attributes most important to child's educational performance...
The study of human emotions has been significantly important in recent years, mainly due to its incidence in human behavior. Additionally, having semantic tools that infer emotions from multisensory sources is a crucial aspect, especially because the feelings or actions of a person might be identified through these semantic tools. In the present research, a methodology that uses semantic structures...
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