840 resultados para Destino turístico inteligente


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Mode of access: Internet.

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Fil: Aliano, Nicolás. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

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En este trabajo nos proponemos efectuar una serie de consideraciones sobre la representación simbólica que construyen los estudiantes acerca del cuerpo. En tanto que los significados y valores que este porta, son luego los parámetros por los cuales algunos cuerpos serán más legitimados que otros. En particular analizaremos la percepción del cuerpo que tienen los estudiantes, de aquellos tipificados como jóvenes violentos. Para lo cual, partimos de la idea de que es necesario estudiar las interacciones entre los jóvenes, para saber cuál es, y cómo se configura el sentido que tienen por la violencia. En tal caso, ver cómo construyen la imagen del sujeto violento es una de las aristas de esta cuestión. Para ello nos basaremos en los resultados arrojados por la investigación de un equipo de trabajo del que formamos parte en calidad de estudiantes investigadores, en el que se aborda el problema de las violencias en el ámbito escolar (IICE, FFyL/UBACyT F014), y focalizaremos el análisis en ciertos elementos de algunas entrevistas realizadas. Asimismo sumaremos los aportes teóricos a la cuestión, desde nuestra inscripción como estudiantes adscriptos a la cátedra de Sociología de la Educación del Departamento de Ciencias de la Educación de la FAHCE-UNLP

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The increasing in world population, with higher proportion of elderly, leads to an increase in the number of individuals with vision loss and cataracts are one of the leading causes of blindness worldwide. Cataract is an eye disease that is the partial or total opacity of the crystalline lens (natural lens of the eye) or its capsule. It can be triggered by several factors such as trauma, age, diabetes mellitus, and medications, among others. It is known that the attendance by ophthalmologists in rural and poor areas in Brazil is less than needed and many patients with treatable diseases such as cataracts are undiagnosed and therefore untreated. In this context, this project presents the development of OPTICA, a system of teleophthalmology using smartphones for ophthalmic emergencies detection, providing a diagnostic aid for cataract using specialists systems and image processing techniques. The images are captured by a cellphone camera and along with a questionnaire filled with patient information are transmitted securely via the platform Mobile SANA to a online server that has an intelligent system available to assist in the diagnosis of cataract and provides ophthalmologists who analyze the information and write back the patient’s report. Thus, the OPTICA provides eye care to the poorest and least favored population, improving the screening of critically ill patients and increasing access to diagnosis and treatment.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.