São Paulo Federal Institute of Education, Science and Technology

About: São Paulo Federal Institute of Education, Science and Technology is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 1707 authors who have published 2374 publications receiving 11333 citations.

Improvement of Mechanical Properties in Natural Rubber with Organic Fillers

Abstract: When added to polymeric matrices, organophilic clay transforms the performance of the resulting composites. A natural rubber matrix with different loads was prepared as bentonite chocolate B modified by sodification and treated with ammonium quaternary salt with cellulose charge, cardboard and palm fiber. After the mixture of natural rubber in a roller mill with the additives and subsequent addition of loads individually, plates were vulcanized for fabricating specimens. We measured the mechanical properties of traction and the interlayer distances analyzed by XRD. The aim of the paper is to show that the composite obtained improved in mechanical properties as compared to plates without the addition of loads.

A knowledge tailor-made method oriented to robotization of process: a case study of aeronautical materials’ drilling

Abstract: This paper aims to propose a novel knowledge tailor-made management method (KTMM) for industrial automation, to assist managers, project leaders and engineers interested on robotization of manufacturing. It looks for integrating the phases of analyzes, prospecting, development, deployment and evaluation of a robotized process. Specifically, this research focuses on the extraction of valuable knowledge, background and practical experience of the author in the field of industrial automation linked to literature review and motivated by the unavailability of a specific method in the literature that assists the entire process of robotization on the shop floor. The proposed KTMM was designed and supported by supply, input, process, output, control and knowledge management methodologies and integrated with the specialist skills and expertise of the author acquired in the organizational environment. To demonstrate the application of the proposed method, a case study of a robotized drilling process has been carried out in order to fulfill the KTMM method and its tasks. KTMM drives all steps of a robot implementation, increasing the efficiency, reducing cost and improving the quality, supporting the company to the competitive market. In addition, the proposal encourages the work team integration, aiming the sharing of knowledge and different skills.

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis

Abstract: The field of neural networks has seen significant advances in recent years with the development of deep and convolutional neural networks. Although many of the current works address real-valued models, recent studies reveal that neural networks with hypercomplex-valued parameters can better capture, generalize, and represent the complexity of multidimensional data. This paper explores the quaternion-valued convolutional neural network application for a pattern recognition task from medicine, namely, the diagnosis of acute lymphoblastic leukemia. Precisely, we compare the performance of real-valued and quaternion-valued convolutional neural networks to classify lymphoblasts from the peripheral blood smear microscopic images. The quaternion-valued convolutional neural network achieved better or similar performance than its corresponding real-valued network but using only 34% of its parameters. This result confirms that quaternion algebra allows capturing and extracting information from a color image with fewer parameters.

Measurement systems of soil water matric potential and evaluation of soil moisture under different irrigation depths

Abstract: The development of new methodologies and tools that enable to determine the water content in soil is of fundamental importance to the practice of irrigation. The objective of this study was to evaluate soil matric potential using mercury tensiometer and puncture digital tensiometer, and to compare the gravimetric soil moisture values obtained by tensiometric system with gravimetric soil moisture obtained by neutron attenuation technique. Four experimental plots were maintained with different soil moisture by irrigation. Three repetitions of each type of tensiometer were installed at 0.20 m depth. Based on the soil matric potential and the soil water retention curve, the corresponding gravimetric soil moisture was determined. The data was then compared to those obtained by neutron attenuation technique. The results showed that both tensiometric methods showed no difference under soil matric potential higher than -40 kPa. However, under drier soil, when the water was replaced by irrigation, the soil matric potential of the puncture digital tensiometer was less than those of the mercury tensiometer.