Enfoque UTE

pp. 119 - 129

Authors: Janeth Fabiola Proaño Bastidas, Erika Rivadeneira, Pablo Moncayo, Elizabeth Mosquera

The work documented in this essay is focused on harnessing the properties of Passion fruit seeds Passiflora edulis f.flavicarpa Deg to achieve the design of a cosmetic product: an exfoliating cream containing passion fruit seed oil and solid residue generated from oil extraction. The applied methodology for the formulation of the cream was initially based on a combination of a mechanical process through pressing, and oil extraction from the seeds by the use of organic solvents, ethyl ether. The physicochemical analysis variables evaluated in the exfoliating cream were pH, extensibility and emulsion capacity. The physical properties were considered as listed, colour, odour, brightness and grittiness. Furthermore, the absence of lumps was evaluated as macroscopic indicators of adequate particle size distribution and uniform texture. It was concluded that the oil from passionfruit seeds due to its composition in protein and liquid elements, optimally conserves the inherent properties of a product designed for skincare and conditioning. The use of solid residue that for primary industries is considered as unstable waste, represents an innovative alternative in the range of available semi-finished raw materials with properties capable of enhancing the products for human consumption.

pp. 108 - 118

Authors: Edwin Chamba, Edilberto Llanes, Andres Cardenas, William Vega, Juan Carlos Rocha

There is a wide variety of materials with various properties available for designers to meet different design requirements. The objective of this study was to evaluate the properties of the relevant materials available in Ecuador through the multicriteria meth-od such as: Proportional complex evaluation (COP-RAS), Technique for the order of preference for similarity to real solution (TOPSIS), Optimization multi-disciplinary and compromise solution (VIKOR), in order to indicate which material would be a potential substitute for the original. It was concluded that 1045 steel is the best choice as a substitute for a safety compartment compared the base line the Aluminum-Magnesium alloy, considering that, despite being a light material, has low resistance to impact forces.

pp. 15 - 27

Authors: Higinio Alberto Facchini, Santiago Cristobal Pérez, Alejandro Dantiacq

Currently, there is a significant change in data traffic on networks, both local and Internet, across the spectrum of possible customers, whether fixed or mobile. The consumption of video traffic increases day by day in all its formats. Service providers are required more bandwidth, quality and performance, for all products, but mainly those based on video. This article presents an improved version of our laboratory tests for generic networks with four sub-scenarios, which allow injecting multicast video traffic, represented in different codecs. The topology of network used includes a streaming server and up to 20 desktop computers as clients. The most important metrics to be analyzed have been defined, based on performance and quality of service (QoS) measurements under limited bandwidth conditions. Experimental numerical results can be useful for administrators, simulation analysts, designers, and data network planners. But, also, this document aims to serve as a guide for the management of similar networks and the efficiently use available resources, without compromising performance and QoS.

pp. 56 - 67

Authors: Marcos Patricio Orellana Cordero, Priscila Cedillo

The detection of outliers in the field of data mining (DM) and the process of knowledge discovery in databases (KDD) is of great interest in areas that require support systems for decision making. A straightforward application can be found in the financial area, where DM can potentially detect financial fraud or find errors produced by the users. Thus, it is essential to evaluate the veracity of the information, through the use of methods for the detection of unusual behaviors in the data. This paper proposes a method to detect values ​​that are considered outliers in a database of nominal type data. The method implements a global algorithm of "k" closest neighbors, a clustering algorithm called k-means and a statistical method called chi-square. These techniques have been implemented on a database of clients who have requested a financial credit. The experiment was performed on a data set with 1180 tuples, where, outliers were deliberately introduced. The results showed that the proposed method is able to detect all the outliers entered.

pp. 41 - 55

Authors: EDWIN MARCELO GARCIA TORRES

The intelligent microgrids are an efficient alternative, which allows to supply the demand decreasing the losses of the electrical system and at the same time; the environment and the consumers are the main beneficiaries. This article develops a heuristic based on an energy management model based on the real price of electricity, which will allow end users to encourage the implementation of a policy of response to demand, in order to optimize their consumption, for which a micro smart grid is analyzed, with conventional and non-conventional renewable generation, In addition, a mechanism of "real energy price" will be implemented as a policy of response to demand, with the aim of optimizing the costs of energy that will be transferred to users depending on the stratum to which it belongs, these costs will have a short-term horizon with hourly intervals, achieving a reduction in the purchase of energy from the system