71 resultados para classification aided by clustering

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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It's believed that the simple Su-Schrieffer-Heeger Hamiltonian can not predict the insulator to metal transition of transpolyacetylene (t-PA). The soliton lattice configuration at a doping level y=6% still has a semiconductor gap. Disordered distributions of solitons close the gap, but the electronic states around the Fermi energy are localized. However, within the same framework, it is possible to show that a cluster of solitons can produce dramatic changes in the electronic structure, allowing an insulator-to-metal transition.

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A possible way for increasing the cutting tool life can be achieved by heating the workpiece in order to diminish the shear stress of material and thus decrease the machining forces. In this study, quartz electrical resistances were set around the workpiece for heating it during the turning. In the tests, heat-resistant austenitic alloy steel was used, hardenable by precipitation, mainly used in combustion engine exhaustion valves, among other special applications for industry. The results showed that in the hot machining the cutting tool life can be increased by 340% for the highest cutting speed tested and had a reduction of 205% on workpiece surface roughness, accompanied by a force decrease in relation to conventional turning. In addition, the chips formed in hot turning exhibited a stronger tendency to continuous chip formation indicating less energy spent in material removal process. Microhardness tests performed in the workpieces subsurface layers at 5 m depth revealed slightly higher values in the hot machining than in conventional, showing a tendency toward the formation of compressive residual stress into plastically deformed layer. The hot turning also showed better performance than machining using cutting fluid. Since it is possible to avoid the use of cutting fluid, this machining method can be considered better for the environment and for the human health.

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Precision Spray is a technique to increase performance of Precision Agriculture. This spray technique may be aided by a Wireless Sensor Network, however, for such approach, the communication between the agricultural input applicator vehicle and network is critical due to its proper functioning. Thus, this work analyzes how the number of nodes in a wireless sensor network, its type of distribution and different areas of scenario affects the performance of communication. We performed simulations to observe system's behavior changing to find the most fitted non-controlled mobility model to the system.

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Zones of mixing between shallow groundwaters of different composition were unravelled by two-way regionalized classification, a technique based on correspondence analysis (CA), cluster analysis (ClA) and discriminant analysis (DA), aided by gridding, map-overlay and contouring tools. The shallow groundwaters are from a granitoid plutonite in the Funda o region (central Portugal). Correspondence analysis detected three natural clusters in the working dataset: 1, weathering; 2, domestic effluents; 3, fertilizers. Cluster analysis set an alternative distribution of the samples by the three clusters. Group memberships obtained by correspondence analysis and by cluster analysis were optimized by discriminant analysis, gridded memberships as follows: codes 1, 2 or 3 were used when classification by correspondence analysis and cluster analysis produced the same results; code 0 when the grid node was first assigned to cluster 1 and then to cluster 2 or vice versa (mixing between weathering and effluents); code 4 in the other cases (mixing between agriculture and the other influences). Code-3 areas were systematically surrounded by code-4 areas, an observation attributed to hydrodynamic dispersion. Accordingly, the extent of code-4 areas in two orthogonal directions was assumed proportional to the longitudinal and transverse dispersivities of local soils. The results (0.7-16.8 and 0.4-4.3 m, respectively) are acceptable at the macroscopic scale. The ratios between longitudinal and transverse dispersivities (1.2-11.1) are also in agreement with results obtained by other studies.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Zein films plasticized with oleic acid were formed by solution casting, by the stretching of moldable resins, and by blown film extrusion. The effects of the forming process on film structure were investigated by X-ray diffraction. Wide-angle X-ray scattering (WAXS) patterns showed d-spacings at 4.5 and 10 angstrom, which were attributed to the zein alpha-helix backbone and inter-helix packing, respectively. The 4.5.angstrom d-spacing remained stable under processing while the 10 angstrom d-spacing varied with processing treatment. Small-angle X-ray scattering (SAXS) detected a long-range periodicity for the formed films but not for unprocessed zein, which suggests that the forming process-promoted film structure development is possibly aided by oleic acid. The SAXS d-spacing varied among the samples (130-238 angstrom) according to zein origin and film-forming method. X-ray scattering data suggest that the zein molecular structure resists processing but the zein supramolecular arrangements in the formed films are dependent on processing methods.

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During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, monitor different operation parameters such as weight on the hook and drillstring rotation. These measurements are known as mud-logging records and allow the online following of all the drilling process with well monitoring purposes. However, in most of the cases, these data are stored without taking advantage of all their potential. On the other hand, to make use of the mud-logging data, an analysis and interpretationt is required. That is not an easy task because of the large volume of information involved. This paper presents a Support Vector Machine (SVM) used to automatically classify the drilling operation stages through the analysis of some mud-logging parameters. In order to validate the results of SVM technique, it was compared to a classification elaborated by a Petroleum Engineering expert. © 2006 IEEE.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The ovarian remnant syndrome (ORS) is an iatrogenic disorder in bitches and queens, which is characterized by recurrence of estrus following surgical spay, due to the presence of a piece of ovarian tissue within the abdominal cavity. In most cases, the remnant ovary is found in the right ovarian pedicle, due to its topographic position, deeper and more cranial than the left ovary. The main clinical signs of ORS in small animals are the heat behavior and the presence of vaginal swelling/secretion, especially in canines. The diagnosis should be performed by means of vaginal cytology when attraction of males is detected, serum estrogen and progesterone levels and/or by challenging test with GnRH or hCG administration. However, vaginal citology is the most suitable and less expensive diagnostic tool. Nowadays the treatment of choice is a new laparotomy or laparoscopy, followed by removal of the remnant ovarian tissue. The surgical treatment has more chances of success if it is performed in the diestrus (i.e., between 15 and 60 days after the detection of attraction of males). Furthermore, a careful and accurate surgical procedure aided by advanced visualization techniques during ovariohysterectomy or ovariectomy is the best way to prevent ORS in companion animals.

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O objetivo deste trabalho foi confrontar as sequências parciais do gene 16S rRNA de estirpes padrão de rizóbios com as de estirpes recomendadas para a produção de inoculantes no Brasil, com vistas à verificação da confiabilidade do sequenciamento parcial desse gene para a identificação rápida de estirpes. Foram realizados sequenciamentos através de reação em cadeia da polimerase (PCR) com iniciadores relativos à região codificadora do gene 16S rRNA entre as bactérias estudadas. Os resultados foram analisados pela consulta de similaridade de nucleotídeos aos do Basic Local Alignment Search Tool (Blastn) e por meio da interpretação de árvores filogenéticas geradas usando ferramentas de bioinformática. A classificação taxonômica das estirpes Semia recomendadas para inoculação de leguminosas com base em propriedades morfológicas e especificidade hospedeira não foi confirmada em todas as estirpes. A maioria das estirpes estudadas, consultadas no Blastn, é consistente com a classificação proposta pela construção de árvores filogenéticas das sequências destas estirpes, com base na similaridade pelo sequenciamento parcial do gene considerado.

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A distribuição radicular de duas cultivares de aspargo (New Jersey 220 e UC 157 F1), irrigadas por aspersão convencional, foi avaliada durante o ano de 1997 em solos de textura arenosa, em plantio experimental e comercial, respectivamente, nos Projetos de Irrigação de Bebedouro e Senador Nilo Coelho, em Petrolina (PE). O objetivo foi obter informações do sistema radicular do aspargo, empregando-se os métodos do monolito e do perfil de solo auxiliado pela análise de imagens digitais, para o manejo de solo e água nesse cultivo. Na área experimental, a maior parte da matéria seca, área e comprimento de raízes no perfil de solo e densidade de comprimento radicular foram encontradas até a profundidade de 0,4 m nas duas cultivares, enquanto que na comercial a maior parte da área e comprimento de raízes no perfil do solo estendeu-se até a profundidade de 0,6 m (cv. New Jersey 220). Nesses dois plantios, as raízes das cultivares atingiram a profundidade de 1 m. Na área experimental, a massa seca, a área e o comprimento no perfil de solo, e a densidade de comprimento radicular nas cultivares concentraram-se até a distância de 0,6 m à linha de plantas. No intervalo de diâmetro (d) de raízes 2

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The objective of the study was to investigate the relationship between autonomy markers in adult people with intellectual disabilities (ID) and variables such as intelligence quotient (IQ), early aging, and literacy. Participants were 47 adults with ID (33 men; aged 28-58 years with nonspecific etiology, 34 literate). All participants were trainees at the Center for Training of Capacity and Orientation for Employment at Associação de Pais e Amigos dos Excepcionais de São Paulo, São Paulo State, Brazil. They were divided into two age groups: younger (n = 27, mean age 31.85; +/- 2.23), and older (n = 38, mean age 41.84; +/- 5.54). They were administered intelligence scales twice, and answered questions related to social participation, community integration, and choice-making; the percentage of item responses leaning toward self-determination and freedom in choice-making was considered in defining the autonomy score. For both groups, IQ declined from the first to the second assessment. Autonomy scores were more determined by IQ classification than by literacy. Authors concluded that autonomy in people with ID is a multifactorial phenomenon associated with cognitive decline.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)