Comparing support vector machines and artificial neural networks in the recognition of steering angle for driving of mobile robots through paths in plantations

The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by pre-processing them to extract image features. Such features are then submitted to a support vector machine and an artificial neural network in order to find out the most appropriate route. A comparison of the two approaches was performed to ascertain the one presenting the best outcome. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine and of an artificial neural network, which so far presented respectively around 93% and 90% accuracy in predicting the appropriate route. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science

Indeterminate form of chagas disease and metabolic syndrome: a dangerous combination

Chagas’ disease (CD) has been a major concern in public health in Latin America countries and in Brazil there are about 3 million people suffering from this disease. With the social and economic changes which have been occurring in the last 6 decades in the country, there have been a lot of changes in the population life style with severe metabolic consequences, especially for those with Chagas' disease. The objective of this study was to evaluate the prevalence of metabolic syndrome in individuals with the indeterminate form of CD. A total of 74 individuals, mean age of 55.6 years, participated in the study. Anthropometric and biochemical evaluations were performed. Overweight/obesity was found in 86.5 % of individuals, increased waist circumference in 72.5%, and 67% had more than 30% of fat mass. Hyperglycemia and dyslipidemia were observed in 24.3% and 75.7% of patients, respectively. Metabolic syndrome was diagnosed in 48.2% of patients. The family history revealed high prevalence of cardiovascular diseases (80.3%), systemic arterial hypertension (57.1%) and diabetes mellitus (42.8%). A total of 90% of patients were overweight/obese, and it is well known that increased adipose tissue, specially visceral adipose tissue is highly associated with dyslipidemia and cardiovascular diseases, as well as imbalance in production of proinflammatory and antiinflammatory cytokines produced by that tissue. Adipocytes are also known as a reservoir for Trypanosoma cruzi, favoring an increase in parasite load and a possible reacutization of the disease. Therefore, the study individuals are at high risk of developing cardiovascular diseases as well as further symptomatic form of the Chagas' disease, mainlychagastic cardiopathy.