Análisis de competencia universidades en Colombia.

La pasantía con la Universidad de la Rioja consiste en escoger, según el ranking de universidades en Colombia las mejores universidades con modalidad “Online” y las dos mejores universidades en todo el ranking; adicional a eso, todas las universidades internacionales que tienen presencia en el país también con modalidad “Online”. Todas esas universidades tienen que tener el programa de administración de empresas y/o ingeniería informática y luego consignar todo en un archivo con los puntos principales de cada universidad como lo son el costo de la carrera, la cantidad de estudiantes que tiene la universidad, los puntos fuertes de dicha universidad y la cantidad de programas que tiene en general.The internship with the University of La Rioja consists in choosing, according to the ranking of universities in Colombia, the best universities with "Online" modality and the two best universities in the entire ranking; additional to that, all the international universities that have a presence in the country also with "Online" modality. All these universities have to have the program of business administration and/or computer engineering and then record everything in a file with the main points of each university such as the cost of the career, the number of students that the university has, the strengths of said university and the amount of programs it has in general

Event-Related Potential N100 Vs. N170 Wave Results Comparison On Driving Alertness

Driver’s attention, especially during long rides, is very crucial to avoid road accidents, which may lead to injuries and fatalities on the roadway. However, with modern technologies, the decline in driver’s attention can be investigated through the electrical activity of the brain. Event-Related Potential (ERP) is the electrophysiological brain response measurement that related to the sensory, cognitive and motor events. By using simple averaging techniques, ERPs can give reliable result to measure the attentiveness of the driver during driving. In this paper, N100 and N170 wave results were presented, which obtained from temporal and occipital lobes respectively and been compared to measure the driver’s attention. In term of attentiveness difference percentage, it is 0.09% and 38% differences were observed from N100 and N170 wave results respectively. From the results, it clearly can be seen that using N170 wave from occipital lobe is more significant to measure the driver’s alertness compared to N100 wave that recorded from the temporal lobe

N170 Wave Amplitude Analysis On Driving Performance On Highway Road

Attention in the physiological definition is taking possession of the mind in one of several simultaneously events of thoughts which implies withdrawing some things to deal effectively with other. In driving particularly, attention is essential to keep track of the driver’s vigilance to avoid the road accident. In this paper, analysis of the driver’s attention is done through their driving performance from both of Electroencephalographic (EEG) amplitude and accident score. During the driving experiment, two stimulations will be given to the subjects which are silent environment (in certain dB) and listening to the live streaming radio. The results show that when listening to the radio, the driving performance is improved and the score of the accident is reduced as well. This figure gave a concrete justification that driver’s attention able to maintain or even increase when the stimulation is triggered

Desarrollo de una Aplicación Educativa para la asignatura de Matemática

El presente trabajo consiste en el desarrollo de una aplicación educativa para dispositivos móviles en la plataforma de App inventor 2, como apoyo al contenido Gráficas de la proporcionalidad directa b<x<c de la Unidad V: Proporcionalidad

Hybrid Mean Fuzzy Approach For Attention Detection

Statistics around the world showed that attention deficit significantly leads to road accidents. Hence, the growth of studies on attention deficit detection becoming more important. The studies obtained the waveform from electroencephalography (EEG) to identify the characteristic of attention. However, each individual has own unique characteristics to significantly shown the attention deficit. Thus, this research aim is to use the fuzzy approach to minimize the variability gap of the EEG signal between each individual. The research conducted the prior experiment to develop control parameter for training set of fuzzy by using two distinct stimulations to create two groups of attention sample i.e., attentive and inattentive. An approach of novel Hybrid Mean Fuzzy (HMF) was proposed in this research to detect attention deficit in EEG signal. It is the combination of simple averaging (Mean) and Fuzzy approaches for EEG analysis and classification. The results of using this method shows a significantly change in EEG signal which correlates to the attention detection. An Attention Degradation Scale (ADS) is successfully developed as the threshold value of EEG for attention detection. Therefore, the findings in this research can be a promising foundation on attention deficit detection in large application not only for reducing the road accidents

Desarrollo de una Aplicación Educativa para la asignatura de Matemática

El presente trabajo consiste en el desarrollo de una aplicación educativa para dispositivos móviles en la plataforma de App inventor 2, como apoyo al contenido Gráficas de la proporcionalidad directa b<x<c de la Unidad V: Proporcionalidad. En vista de los buenos resultados que en la actualidad está teniendo la tecnología móvil en la educación, se han desarrollado diversos proyectos a nivel internacional, nacional y local que fundamentan el desarrollo de aplicaciones móviles como apoyo al proceso de enseñanza-aprendizaje, estas investigaciones sirven como antecedentes para la investigación, la investigación es de tipo investigación acción y tiene un enfoque filosófico cualitativo ya que se hace uso de instrumentos de recolección de datos sin medición numérica. El objetivo principal de la investigación es desarrollar una aplicación Educativa para dispositivos móviles como apoyo al reforzamiento escolar de los estudiantes de séptimo grado que presentan dificultades en el contenido “Gráficas de la proporcionalidad directa b<x<c” de la Unidad V: Proporcionalidad en la asignatura de Matemáticas, para esto se definieron actividades de aprendizaje que contiene la aplicación, se diseñaron las interfaces de usuario y seguido se desarrolló la aplicación haciendo uso del software App Inventor, luego se evaluó la aplicación, aplicando entrevistas a experto en contenido y especialista en diseño y desarrollo y por último se realizó una propuesta de integración de la aplicación, incorporando estrategias de aprendizaj

Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network

A hardware fingerprinting primitive known as physical unclonable function (PUF) has a huge potential for secret-key cryptography and identification/authentication applications. The hardware fingerprint is manifested by the random and unique binary strings extracted from the integrated circuit (IC) which exist due to inherent process variations during its fabrication. PUF technology has a huge potential to be used for device identification and authentication in resource-constrained internet of things (IoT) applications such as wireless sensor networks (WSN). A secret computational model of PUF is suggested tobe stored in the verifier’s database as an alternative to challenge and response pairs (CRPs) to reduce area consumption. Therefore, in this paper, the design steps to build a PUF model in NodeMCU ESP8266 using an artificial neural network (ANN) are presented. Arbiter-PUF is used in our study and NodeMCU ESP8266 is chosen because it is suitable to be used as a sensor node or sink in WSN applications. ANN with a resilient back-propagation training algorithm is used as it can model the non-linearity with high accuracy. The results show that ANN can model the arbiter-PUF with approximately 99.5% prediction accuracy and the PUF model only consumes 309,889 bytes of memory space

Carpal alignment in distal radial fractures

BACKGROUND: Carpal malalignment following the malunited distal radial fracture is described to develop as an adaptation to realign the hand to the malunion. It worsens gradually after healing of the fracture due to continued loading of the wrist. It is also reported to develop during the immobilization itself rather than after fracture healing. The present work was aimed to study the natural course and the quantitative assessment of such adaptive carpal realignment following distal radial fracture. METHODS: In a prospective study, 118 distal radial fractures treated with different modalities were followed-up with serial radiographs for a year for assessment of various radiological parameters. RESULTS: Two patterns of carpal malalignment were identified depending upon the effective radio-lunate flexion (ERLF) measured on pre-reduction radiographs. The midcarpal malalignment was seen in 98 radial fractures (83%) with the lunate following the dorsiflexed fracture fragment and a measured ERLF of less than 25°. The second pattern of radio-carpal malalignment showed the fracture fragment to dorsiflex without taking the lunate with a measured ERLF of more than 25°. The scaphoid did not follow the fracture fragment in both the patterns of malalignment. CONCLUSION: It is better to assess distal radial fractures for any wrist ligamentous injury on the post-reduction film with the restored radial anatomy than on the pre-reduction film since most carpal malalignments get corrected with the reduction of the fracture. Similar carpal malalignment reappear with the redisplacement of the fracture as seen in pre-reduction radiographs and develops during the immobilization rather than as a later compensatory mechanism for the malunion

Neutrino propagation and spin zero sound in hot neutron matter with Skyrme interactions

We present microscopic calculations of neutrino propagation in hot neutron matter above nuclear density within the framework of the Random Phase Approximation . Calculations are performed for non- degenerate neutrinos using various Skyrme effective interactions. We find that for densities just above nuclear density, spin zero sound is present at zero temperature for all Skyrme forces considered. However it disappears rapidly with increasing temperature due to a strong Landau damping. As a result the mean-free path is given, to a good approximation, by the mean field value. Because of the renormalization of the bare mass in the mean field, the medium is more transparent as compared to the free case. We find, in contrast, that at several times nuclear density, a new type of behavior sets in due to the vicinity of a magnetic instability. It produces a strong reduction of the mean free path. The corresponding transition density however occurs in a region where inputs from more realistic calculations are necessary for the construction of a reliable Skyrme type parametrization.Comment: 17 pages, 4 figure