Automatic classification of new articles in Spanish

We apply machine learning techniques to the automatic classification of news articles from the local newspaper La Capital of Rosario, Argentina. The corpus (LCC) is an archive of approximately 75,000 manually categorized articles in Spanish published in 1991. We benchmark on LCC three widely used supervised learning methods: k-Nearest Neighbors, Na¨ ve Bayes and Arti ficial Neural Networks, illustrating the corpus properties.Eje: V - Workshop de agentes y sistemas inteligentesRed de Universidades con Carreras en Informátic

Automatic classification of new articles in Spanish

We apply machine learning techniques to the automatic classification of news articles from the local newspaper La Capital of Rosario, Argentina. The corpus (LCC) is an archive of approximately 75,000 manually categorized articles in Spanish published in 1991. We benchmark on LCC three widely used supervised learning methods: k-Nearest Neighbors, Na¨ ve Bayes and Arti ficial Neural Networks, illustrating the corpus properties.Eje: V - Workshop de agentes y sistemas inteligentesRed de Universidades con Carreras en Informátic

Radiofrequency treatment of cervicogenic headache

Objectives: In the clinical management of facial pain, a possible cervical origin must be considered. A clinical exploration is therefore essential. The disorder originates in the intimate connections between the cranial portion of the spinal cord and the trigeminal system. Although solid evidence supporting the use of radiofrequency (RF) treatment is lacking, it remains one of the management options to be taken into account. The present study evalu - ates the efficacy of RF in application to cervicogenic headache. Study design: We present three cases of severe facial pain arising from different cervical structures. Results: In two cases the pain originated in cervical roots C2 and C3, while in the third patient the trigger point was located at the level of the atlantoaxial joint. Pulsed RF was applied for 4 minutes at the dorsal ganglion of C2 and C3 in the first two cases, and for 8 minutes at intraarticular level in the third patient. The pain gradually sub - sided during the first month in all cases. The first two patients reported 70% improvement after one month, 60% improvement after 6 months, and 30-50% after one year, versus baseline. The third patient reported complete pain resolution lasting approximately 5 months, after which the pain reappeared with the same intensity as before. Conclusions: Radiofrequency is a satisfactory treatment option, affording adequate analgesia, though the effects are sometimes temporary

Gaining deep knowledge of Android malware families through dimensionality reduction techniques

This research proposes the analysis and subsequent characterisation of Android malware families by means of low dimensional visualisations using dimensional reduction techniques. The well-known Malgenome data set, coming from the Android Malware Genome Project, has been thoroughly analysed through the following six dimensionality reduction techniques: Principal Component Analysis, Maximum Likelihood Hebbian Learning, Cooperative Maximum Likelihood Hebbian Learning, Curvilinear Component Analysis, Isomap and Self Organizing Map. Results obtained enable a clear visual analysis of the structure of this high-dimensionality data set, letting us gain deep knowledge about the nature of such Android malware families. Interesting conclusions are obtained from the real-life data set under analysis

Delving into Android Malware Families with a Novel Neural Projection Method

Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for dimensionality-reduction, namely, Beta Hebbian Learning (BHL), is applied to visually analyze such malware. Additionally, well-known supervised Decision Trees (DTs) are also applied for the first time in order to improve characterization of such families and compare the original features that are identified as the most important ones. The proposed techniques are validated when facing real-life Android malware data by means of the well-known and publicly available Malgenome dataset. Obtained results support the proposed approach, confirming the validity of BHL and DTs to gain deep knowledge on Android malware.This work is partially supported by Instituto Nacional de Ciberseguridad (INCIBE) and developed by Research Institute of Applied Sciences in Cybersecurity (RIASC)

Automatic classification of new articles in Spanish

We apply machine learning techniques to the automatic classification of news articles from the local newspaper La Capital of Rosario, Argentina. The corpus (LCC) is an archive of approximately 75,000 manually categorized articles in Spanish published in 1991. We benchmark on LCC three widely used supervised learning methods: k-Nearest Neighbors, Na¨ ve Bayes and Arti ficial Neural Networks, illustrating the corpus properties.Eje: V - Workshop de agentes y sistemas inteligentesRed de Universidades con Carreras en Informátic

Propuesta de un plan de auditoria para el sistema de gestión de inocuidad de la empresa Panadería la promesa

El presente trabajo se realiza con la intención de dar a conocer al lector como realizar un plan de auditoria para una empresa de alimentos como es el caso de Panadería La Promesa. Este proyecto surge de la necesidad de identificar y mitigar los peligros relacionados con la inocuidad de los alimentos y la seguridad del consumidor final, para lo cual se identifican las No conformidades en una visita realizada para evaluar el cumplimiento del sistema HACCP. Para ello se ha tomado un acta de auditoria interna en la cual se describen 8 hallazgos encontrados en una visita previa al establecimiento, generando un Plan de auditoria que permite verificar el cumplimiento o no a las observaciones realizadas por el auditor. En la elaboración del plan de auditoria han participado 4 estudiantes quienes toman el rol de auditores, en la formulación y desarrollo del plan de auditoria con el fin de verificar la implementación de los requerimientos y el cumplimiento de la norma. Como resultado del presente proyecto queda definida una forma específica de realizar un plan de auditoria, basándose en criterios claros de observación y análisis que permitan verificar el cumplimiento de las normas y decretos, que garanticen el cumplimiento por parte de la empresa y sobre todo la inocuidad de los productos elaborados por panadería La Promesa. El presente plan de auditoria sirve de ejemplo y guía para auditores en proceso de formación y brinda un apoyo en la elaboración de planes de auditoria, independientemente del tipo de organización.The present work is carried out with the intention of making the reader aware of how to carry out an audit plan for a food company such as La Promesa Bakery. This project arises from the need to identify and mitigate the dangers related to food safety and the safety of the final consumer, for which nonconformities are identified in a visit to assess compliance with the HACCP system. For this, an internal audit report has been taken in which 8 findings found in a previous visit to the establishment are described, generating an Audit Plan that allows verification of compliance or not with the observations made by the auditor. In the preparation of the audit plan, 4 students have participated who take the role of auditors, in the formulation and development of the audit plan in order to verify the implementation of the requirements and compliance with the standard. As a result of this project, a specific way of carrying out an audit plan is defined, based on clear observation and analysis criteria that allow verification of compliance with regulations and decrees, which guarantee compliance by the company and, above all, safety. of the products made by La Promesa bakery. This audit plan serves as an example and guide for auditors in the training process and provides support in the preparation of audit plans, regardless of the type of organization

Image matching algorithms in stereo vision using address-event- representation: a theoretical study and evaluation of the different algorithms

Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted at a rate of 25-30 fps (typical real-time scenario). Digital video processing has to process each frame in order to obtain a filter result or detect a feature on the input. In stereo vision, existing algorithms use frames from two digital cameras and process them pixel by pixel until it is found a pattern match in a section of both stereo frames. Spike-based processing is a relatively new approach that implements the processing by manipulating spikes one by one at the time they are transmitted, like a human brain. The mammal nervous system is able to solve much more complex problems, such as visual recognition by manipulating neuron’s spikes. The spike-based philosophy for visual information processing based on the neuro-inspired Address-Event- Representation (AER) is achieving nowadays very high performances. In this work we study the existing digital stereo matching algorithms and how do they work. After that, we propose an AER stereo matching algorithm using some of the principles shown in digital stereo methodsMinisterio de Ciencia e Innovación TEC2009-10639-C04-02 (VULCANO)European Union (UE) FP7-248582 (CARDIAC

Pilot Study on Visual Function and Fundus Autofluorescence Assessment in Diabetic Patients

Purpose. Evaluate optimized fundus autofluorescence (FAF) imaging in early stages of diabetic retinopathy (DR) and relate findings with conventional colour fundus imaging and visual function in diabetic patients and control subjects. Materials and Methods. FAF and colour images were obtained using the CR-2 Plus digital nonmydriatic retinal camera in seven diabetic patients and thirteen control subjects. Visual-Functioning Questionnaire-25 (VFQ-25) and Diabetes Self-Management Questionnaire (DSMQ) were used to assess the quality of life and diabetes self-care. Contrast sensitivity function (CSF) was evaluated with the Vistech 6500 chart. Results. FAF and optimized-FAF imaging showed more retinal alterations related to DR than colour imaging. In diabetic patients, compatible signs with microaneurysms, capillary dilations, and haemorrhages were less numerous in colour imaging than optimized-FAF and FAF imaging in areas analysed. Control subjects at risk of developing DM showed more retinal pigment epithelium defects than those without risk in all retinal areas. Significant differences were not found in VFQ-25 and CSF between diabetic patients and control subjects. Conclusions. FAF and optimized-FAF imaging showed significant alterations related to DR not observed in colour imaging. FAF and optimized-FAF images could be a useful complementary tool for detecting early alterations associated with the development and progression of DR

Techno-Economic Analysis of a Solar Hybrid Combined Cycle Power Plant Integrated with a Packed Bed Storage at Gas Turbine Exhaust

[EN]The present work performs a techno-economic analysis of an innovative solar-hybrid combined cycle composed of a topping gas turbine coupled to a bottoming packed bed thermal energy storage at the gas turbine exhaust, which runs in parallel to a bottoming steam cycle. Plant performances have been evaluated in terms of the capacity factor, the specific CO2 emissions, the capital expenditure, and the Levelised Cost of Electricity. The influence of the combustion chamber outlet temperature, solar multiple and energy storage capacity has been assessed by means of a sensitivity analysis. The present study also compares the previously listed performance against that of conventional molten salt tower Concentrating Solar Power plants and traditional combined cycle gas turbine power plants with equivalent installed capacities and load factors. The results show that it is worth hybridizing the system, particularly at high combustion chamber outlet temperature, large storage size and solar multiple. Furthermore, plant configurations leading to a Levelised Cost of Electricity lower than 110 $/MWh can be achieved for a capacity factor of about 60%. Under these working conditions, the proposed configuration would be only 1.66 times more costly than an equivalent size CCGT. At the same time, it would yield less than half of the emissions of the latter. Simultaneously, the proposed layout is considerably cheaper than an equivalent molten salt Concentrating Solar Power plant