University las Fuerzas Armadas

Sangolquí, Ecuador

University las Fuerzas Armadas

Sangolquí, Ecuador
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Carrillo-Medina J.L.,University las Fuerzas Armadas | Latorre R.,Autonomous University of Madrid
Frontiers in Computational Neuroscience | Year: 2015

Experimental evidence has revealed the existence of characteristic spiking features in different neural signals, e.g., individual neural signatures identifying the emitter or functional signatures characterizing specific tasks. These neural fingerprints may play a critical role in neural information processing, since they allow receptors to discriminate or contextualize incoming stimuli. This could be a powerful strategy for neural systems that greatly enhances the encoding and processing capacity of these networks. Nevertheless, the study of information processing based on the identification of specific neural fingerprints has attracted little attention. In this work, we study (i) the emerging collective dynamics of a network of neurons that communicate with each other by exchange of neural fingerprints and (ii) the influence of the network topology on the self-organizing properties within the network. Complex collective dynamics emerge in the network in the presence of stimuli. Predefined inputs, i.e., specific neural fingerprints, are detected and encoded into coexisting patterns of activity that propagate throughout the network with different spatial organization. The patterns evoked by a stimulus can survive after the stimulation is over, which provides memory mechanisms to the network. The results presented in this paper suggest that neural information processing based on neural fingerprints can be a plausible, flexible, and powerful strategy. © 2015 Carrillo-Medina and Latorre.


Yoo S.G.,University Las Fuerzas Armadas
ACM International Conference Proceeding Series | Year: 2016

Wireless sensor networks are being applied in different fields. One of those fields is the body sensor networks. Body sensor networks is a kind of wireless sensor network with higher flexibility and sensitivity because the sensors are put on or in user's body. As healthcare applications includes confidential information, security becomes one of the most important aspects to consider. As a contribution to this field, Kumar et al. proposed an efficient-strong authentication protocol for healthcare application using wireless medical sensor networks in 2012. Later, Khan and Kumari presented their research work where they identified vulnerabilities in Kumar et al.'s work and proposed their own authentication scheme based on the two-factor user authentication concept. Additionally, Shin et al. also proposed a secure authentication mechanism. However, this paper finds that previous works are flawed with a number of security pitfalls. This paper cryptanalyzes the aforementioned works and shows how those works are vulnerable to data leakage, man in the middle attack, password guessing attack, replay attack, and manages insecure keys. © 2016 ACM.


Torres-Tello J.,University Las Fuerzas Armadas
2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 | Year: 2017

Agriculture is one of the oldest productive activities of humanity and it is also essential for the sustenance and development of life as we know. Agricultural activity has undergone several changes throughout history, starting as a primitive process at an early stage, going through traditional agriculture and reaching what is called modern agriculture. As for the last one, and specifically when it makes use of ICT (Information and Communication Technology), some characteristics have been identified by means of a literature review in the projects deployed worldwide that allow us to propose a way to classify them into four categories: Projects for education and dissemination of information, for environmental care, for online trading, and for the increasement of production and adding value. It should be noted that almost any project involving agriculture and ICT has a comprehensive approach, but they usually focus on one of the categories previously mentioned. Since one of the goals of this paper is to show the advantages that Infocentros can bring to the agricultural activity in Ecuador in order to become a tool for the deployment of e-agriculture (a concept that involves ICT with the agricultural activity), it is interesting to note that after analyzing official statistics, we have found that the usage and access of Ecuadorian rural population to ICT has increased in recent years, as well as the infrastructure supporting such technology. It has been also identified that Infocentros are the most common place for Internet access in those areas. These facts support the idea that nowadays Infocentros could become a key factor in the deployment of e-agriculture in Ecuador. © 2017 IEEE.


Carrillo-Medina J.L.,University las Fuerzas Armadas | Latorre R.,Autonomous University of Madrid
Frontiers in Computational Neuroscience | Year: 2016

Spiking Neural Networks constitute the most promising approach to develop realistic Artificial Neural Networks (ANNs). Unlike traditional firing rate-based paradigms, information coding in spiking models is based on the precise timing of individual spikes. It has been demonstrated that spiking ANNs can be successfully and efficiently applied to multiple realistic problems solvable with traditional strategies (e.g., data classification or pattern recognition). In recent years, major breakthroughs in neuroscience research have discovered new relevant computational principles in different living neural systems. Could ANNs benefit from some of these recent findings providing novel elements of inspiration? This is an intriguing question for the research community and the development of spiking ANNs including novel bio-inspired information coding and processing strategies is gaining attention. From this perspective, in this work, we adapt the core concepts of the recently proposed Signature Neural Network paradigm-i.e., neural signatures to identify each unit in the network, local information contextualization during the processing, and multicoding strategies for information propagation regarding the origin and the content of the data-to be employed in a spiking neural network. To the best of our knowledge, none of these mechanisms have been used yet in the context of ANNs of spiking neurons. This paper provides a proof-of-concept for their applicability in such networks. Computer simulations show that a simple network model like the discussed here exhibits complex self-organizing properties. The combination of multiple simultaneous encoding schemes allows the network to generate coexisting spatio-temporal patterns of activity encoding information in different spatio-temporal spaces. As a function of the network and/or intra-unit parameters shaping the corresponding encoding modality, different forms of competition among the evoked patterns can emerge even in the absence of inhibitory connections. These parameters also modulate the memory capabilities of the network. The dynamical modes observed in the different informational dimensions in a given moment are independent and they only depend on the parameters shaping the information processing in this dimension. In view of these results, we argue that plasticity mechanisms inside individual cells and multicoding strategies can provide additional computational properties to spiking neural networks, which could enhance their capacity and performance in a wide variety of real-world tasks. © 2016 Carrillo-Medina and Latorre.


Kumar B.,University las Fuerzas Armadas | Smita K.,University las Fuerzas Armadas | Cumbal L.,University las Fuerzas Armadas | Debut A.,University las Fuerzas Armadas
Journal of Saudi Chemical Society | Year: 2014

A simple, efficient, and ecofriendly method has been developed for the exclusive synthesis of iron oxide nanoparticles using an aqueous extract of Passiflora tripartita var. mollissima fruit. Transmission electron microscopy (TEM) and Dynamic Light Scattering (DLS) analysis show that the average particle size of spherical iron oxide nanoparticles is 22.3 ± 3. nm. The synthesized nanocatalyst is highly active for the synthesis of biologically significant 2-arylbenzimidazoles. The reaction was carried out under mild condition with excellent yields. The catalyst is easily separated by magnet and recyclable without significant loss of activity. © 2014 King Saud University.


This study, conducted among students from rural areas of Pujilí Canton, Cotopaxi Province, aged 8 to 15 years, allowed to determine: 1) The individual energy requirements by levels of physical activity; 2) the levels of energy and macronutrient sufficiency and balance of diet seen in the light of international standards. It was found that more than 70 % of schoolchildren do not meet the suggested range by the Joint Expert (World Health Organization / Food and Agriculture Organization of the United Nations/ United Nations University) for energy and fat intakes, but that percentage is less than 40 % for proteins and carbohydrates. Also, the results indicate that the percentage contribution from usual macronutrient intake of schoolchildren to their estimated energy intake reach respective goal requirements established. © 2016, Sociedad Chilena de Nutricion Bromatologia y Toxilogica. All rights reserved.


Merchan V.,University Las Fuerzas Armadas
CHILECON 2015 - 2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, Proceedings of IEEE Chilecon 2015 | Year: 2015

The characteristics of a value-based quality system as part of the state of the art of Government Information Technology (GoIT), are a challenge for those who study these topics and propose the existence of a systematic and comprehensive mechanisms for quality assessment. In order to identify and classify the existing of empirical studies in the field of a value-based quality assessment for GoIT, a systematic mapping was proposed for studies that guide the development of this work. The method to be used to perform a specific systematic mapping, is used to reduce of biased results. Therefore, as a result of this research, the steps taken for mapping are described. From the 220 papers identified with different academic search engines, 14 were selected for compliance, and classified according to their type and contribution. The studies show that value-based quality evaluation in the context of GoIT seems to be an area that provides opportunities for further investigation and assessment for quality criteria focused on value. © 2015 IEEE.


Tierra A.R.,University las Fuerzas Armadas
IEEE Latin America Transactions | Year: 2016

At present time, Ecuador has a velocity field, but it does not have an interpolation method to calculate the velocities in other points. This study presents a strategy to interpolate the velocities trough the Artificial Neural Network - ANN with a Radial Basis Functions (RBF) type. To exercise this purpose we have used an available dataset in which the geocentric Cartesian coordinates (X,Y,Z) and their velocities (Vx,Vy,Vz) were known. These data were divided in three groups: The first group has been used to training phase; the second group to determinate the capacity of learning of the RBF; and lastly the third group to evaluate of generalization of the RBF by predicting the velocities in these points. In the same manner, we proceeded with the interpolation by using model velocities VEMOS09. Finally, in the test points the velocities differences were calculated, both RBF network as well as those of the VEMOS09. The results obtained demonstrate that interpolation can be better obtained by using a RBF network rather than VEMOS09.


Bernabe-Poveda M.-A.,University las Fuerzas Armadas | Coltekin A.,University of Zürich
International Journal of Digital Earth | Year: 2015

The terrain reversal effect is a perceptual phenomenon which causes an illusion in various 3D geographic visualizations where landforms appear inverted, e.g. we perceive valleys as ridges and vice versa. Given that such displays are important for spatio-visual analysis, this illusion can lead to critical mistakes in interpreting the terrain. However, it is currently undocumented how commonly this effect is experienced. In this paper, we study the prevalence of the terrain reversal effect in satellite imagery through a two-stage online user experiment. The experiment was conducted with the participation of a diverse and relatively large population (n = 535). Participants were asked to identify landforms (valley or ridge?) or judge a 3D spatial relationship (is A higher than B?). When the images were rotated by 180°, the results were reversed. In a control task with ‘illusion-free’ original images, people were successful in identifying landforms, yet a very strong illusion occurred when these images were rotated 180°. Our findings demonstrate that the illusion is acutely present; thus, we need a better understanding of the problem and its solutions. Additionally, the results caution us that in an interactive environment where people can rotate the display, we might be introducing a severe perceptual problem. © 2014 Taylor & Francis.


Trivino R.D.,University Las Fuerzas Armadas
2016 3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016 | Year: 2016

This paper describes an overview of the progress and achievements in the strategy of open government data implementation in Ecuador, as a project and as a process; through the review and analysis of proposed strategies and policies, resulting in the current state of the country in the South American context and the progress in public initiatives deployments. Among the conclusions is stated that the purpose of open government data does not end at promoting transparency, but also in open processes, supporting the actions of Open Government and even promoting innovation and entrepreneurship, which with a proper disclosure could become a unique case in the region. © 2016 Information Systems Research Group, University of Fribourg.

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