Marco Hiroshi Naka

Universidade Federal de Mato Grosso do Sul

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Hemerson Pistori

Universidade Católica Dom Bosco

Diego André Sant’Ana

Universidade Federal de Mato Grosso do Sul

Marcio Carneiro Brito Pache

Universidade Federal de Mato Grosso do Sul

Adair da Silva Oliveira

Universidade Federal da Grande Dourados

Vanir Garcia

Universidade Federal de Mato Grosso do Sul

João Victor Araújo Rozales

Universidade Católica Dom Bosco

Pedro Lucas França Albuquerque

Universidade Católica Dom Bosco

Tiago Lewandowski

Universidade Católica Dom Bosco

Ken IKEUCHI

Nagoya Institute of Technology

Milena Wolff Ferreira

Universidade Católica Dom Bosco

Cooperative Institutions

Universidade Católica Dom Bosco

Universidade Federal de Mato Grosso do Sul

Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso

Brazilian Agricultural Research Corporation

Kyoto University

ORCID

Universidade Estadual de Mato Grosso do Sul

Universidade Estadual Paulista (Unesp)

The University of Tokyo

Universidade Federal da Grande Dourados

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

A novel technique for evaluation of articular cartilage lubrication based on the surface plasmon resonance

Tribology & interface engineering/Tribology and interface engineering (2005)

Marco Hiroshi Naka Yusuke Arima Hiroo Iwata Masahiro Hasuo Yoshio Fuwa

Evaluation of lubrication in articular cartilage has been developed with various techniques in order to obtain reasonable explanations about this superb mechanism. However, a definitive theory about this mechanism of lubrication is not clear until present time. One of the most relevant restrictions for the comprehension of this mechanism is the difficulty to detect and to evaluate the surface layer of articular cartilage. Acquisition of images from the conventional techniques are not sufficient for the analysis of the surface layer conditions because the most of methods require the dehydration of specimens which change their physiological state. In addition, methods that allow the evaluation of articular cartilage in the aqueous environment do not provide sufficient and clear data for a definitive evaluation. In this work, we present the application of Surface Plasmon Resonance (SPR) principle in the evaluation of articular cartilage surface. In our apparatus, it is possible to acquire images of articular cartilage surface during the lubrication experiments and in the aqueous environment. Variations in the reflectance were used in order to identify the substances present in the surface layer, since the intensity of light depends on the chemical characteristics of the substances located on the articular cartilage surface. The correlation of friction behavior with the possible substances present in the surface layer of articular cartilage can contribute to clarify the mechanism of lubrication of articular cartilage.

Articular surface

10.1016/s0167-8922(05)80041-0

Cite

Citations (1)

A New Clustering Method for Landsat Images Using Local Maximums of a Multidimensional Histogram

Kinji Matsumoto Marco Hiroshi Naka Hiroki Yamamoto

Source

Cite

Citations (2)

Aquicultura e inovação com base em processos de aprendizagem interativa: Projeto Pacu em Terenos, MS

Interações (Campo Grande) (2022)

Marcio Carneiro Brito Pache Cleonice Alexandre Lê Bourlegat Jefferson Levy Espindola Dias Diego André Sant’Ana Hemerson Pistori

Este artigo descreve as tecnologias de inovação do Projeto Pacu durante sua trajetória relacionada à aquicultura, assim como os impactos em sua estrutura e dinâmicas. O objeto de pesquisa é a unidade produtiva da Fazenda Santa Rosa em Terenos, Mato Grosso do Sul. A influência dos processos de aprendizagem interativa no ato inovador foi avaliada neste trabalho. Este estudo de caso faz uso do método descritivo e explicativo da origem e dinâmica da empresa, mediante acesso a fontes bibliográficas e documentais, associadas à coleta de dados com apoio de um questionário ao gerente executivo e visitas diretas à unidade. A pesquisa permitiu verificar a importância do papel da aprendizagem interativa exercida pela empresa, desde suas origens, seja em processos de inovação sistêmica, seja na incorporação de competências que potencializam sua resiliência e a possibilidade de propagar os conhecimentos de forma sistêmica.

10.20435/inter.v23i2.3522

Cite

Citations (0)

Correlation between friction of articular cartilage and reflectance intensity from superficial images

Tribology International (2006)

Marco Hiroshi Naka Masahiro Hasuo Yoshio Fuwa Ken IKEUCHI

Articular surface

Intensity

Prism

10.1016/j.triboint.2005.09.011

Cite

Citations (4)

Friction, lubrication, and polymer transfer between UHMWPE and CoCrMo hip‐implant materials: A fluorescence microscopy study

Journal of Biomedical Materials Research Part A (2008)

Rowena Crockett Marcella Roba Marco Hiroshi Naka B. Gasser Daniel Delfosse

Abstract The friction coefficients of CoCrMo sliding against UHMWPE and CoCrMo were measured in solutions of albumin and synovial fluid containing fluorescently labeled albumin. No fluorescence could be observed on the CoCrMo disc following incubation in labeled albumin or after sliding against CoCrMo. This was due to quenching of the fluorophore by the metal and indicated that a protein film thicker than 10 nm was not formed on the surface. A more complicated behavior was observed for UHMWPE sliding against CoCrMo. For each lubricating solution and at each load, a bimodal distribution of steady‐state friction values was observed, the friction coefficient either remaining constant or decreasing during the early stages of the measurement. As no quenching of the fluorophores occurred on the UHMWPE surface, the fluorescence labeling method could be used to reveal polyethylene (PE) transfer and to show that it correlates with the friction coefficient: Low friction coefficients corresponded to a low density of PE spots on the CoCrMo surface. In addition, it was found that the friction coefficients for UHMWPE sliding against CoCrMo in synovial fluid were not significantly different from those in phosphate‐buffered saline (PBS), but that the addition of albumin to PBS did cause a significant increase in the friction coefficient. © 2008 Wiley Periodicals, Inc. J Biomed Mater Res, 2009

10.1002/jbm.a.32036

Cite

Citations (42)

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

PLoS ONE (2016)

Ariadne Barbosa Gonçalves Junior Silva Souza Gercina Gonçalves da Silva Marney Pascoli Cereda Arnildo Pott

The classification of pollen species and types is an important task in many areas like forensic palynology, archaeological palynology and melissopalynology. This paper presents the first annotated image dataset for the Brazilian Savannah pollen types that can be used to train and test computer vision based automatic pollen classifiers. A first baseline human and computer performance for this dataset has been established using 805 pollen images of 23 pollen types. In order to access the computer performance, a combination of three feature extractors and four machine learning techniques has been implemented, fine tuned and tested. The results of these tests are also presented in this paper.

Feature (linguistics)

10.1371/journal.pone.0157044

Cite

Citations (75)

PROJETO E DESENVOLVIMENTO DE UMA IMPRESSORA 3D DE GRANDE PORTE

N. Cardoso Ferreira Caio S. Gomide Miguel Amorim Matheus Piazzalunga Neivock Marco Hiroshi Naka

10.26678/abcm.creem2023.cre2023-0039

Cite

Citations (0)

GRANULOMETRY AND ENERGY CONSUMPTION AS INDICATORS OF DISINTEGRATION EFFICIENCY IN A HAMMER MILL ADAPTED TO EXTRACTING ARROWROOT STARCH (Maranta arundinacea) IN COMPARISON TO STARCH EXTRACTION FROM CASSAVA

Figshare (2019)

Fabiano P. Branco Marco Hiroshi Naka Marney Pascoli Cereda

ABSTRACT The commercial sector of starch extraction has fully automated plants with a minimum scale of 200 ton.day–1, which extracts starch from maize and cassava in Brazil. Although these starches are commodities, the market demands starches with special properties obtained without chemical modifications. A higher-priced starch can compensate for small-scale extraction, as in the case of arrowroot starch, which would correspond to an alternative income for the producer. As a small-scale equipment was not available in Brazil, it was necessary to adapt a hammer mill for arrowroot starch extraction, which should have a performance similar to that obtained from cassava roots using industrial grinders. The degree of disintegration and energy consumption were adopted as the efficiency indexes. The hammer mill was equipped with two perforated plates. The results showed that use of an adapted hammer mill provides an average diameter of 74.64 ± 0.09 μm for perforated plate 1 (TP1) and 76.62 ± 0.06 μm for TP2; these results were equivalent to those obtained with cassava in the respective perforations which, in turn, was comparable to the degree of grinding obtained with large industrial equipment. The specific energy consumption needs for arrowroot disintegration varied from 31.47 to 48.91 kJ.kg–1, which was considered close to that calculated for large-scale industrial cassava roots grinders, reported at 37.03 kJ.kg–1.

Hammer

10.6084/m9.figshare.8324438

Cite

Citations (0)

Fingerlings mass estimation: A comparison between deep and shallow learning algorithms

Smart Agricultural Technology (2021)

Adair da Silva Oliveira Diego André Sant’Ana Marcio Carneiro Brito Pache Vanir Garcia Vanessa Aparecida de Moares Weber

The paper presents some results regarding the automatic mass estimation of Pintado Real fingerlings, using machine learning techniques to support the fish production process. For this purpose, an image dataset called FISHCV1206FSEG, was created which is composed of 1206 images of fingerlings with their respective annotated masses. Through the fish contours, the area and perimeter were extracted, and submitted to the J48, SVM, and KNN classification algorithms and a linear regression algorithm. The images were also submitted to ResNet50, InceptionV3, Exception, VGG16, and VGG19 convolutional neural networks. As a result, the classification algorithm J48 reached an accuracy of 58.2% and a linear regression model capable of predicting the mass of a Pintado Real fingerling with a mean squared error of 1.5 g. The convolutional neural network ResNet50 obtained an accuracy of 67.08%. We can highlight the contributions of this work through the presentation of a methodology to classify the mass of fingerlings in a non-invasive way and by the analyses and comparing results of different machine learning algorithms for classification and regression.

C4.5 algorithm

10.1016/j.atech.2021.100020

Cite

Citations (8)

Study of hydration lubrication on cartilage surface using evanescent wave

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology (2006)

Koji IKEUCHI Marco Hiroshi Naka

In human joints, hydrated surface layer is formed on articular cartilage with proteoglycan molecules exposed to the surface. The mechanism of lubrication between the surface layer and a prism was studied experimentally with a porcine knee cartilage. When total reflection is achieved, the field of evanescent wave is formed near the prism surface. The reflectance is attenuated when collagen fibre approaches the prism. Thus, collagen fibre content close to the interface can be estimated from the attenuation of reflectance. Friction force and attenuation of reflectance increase during sliding under load due to exudation of water from the surface layer. After short preloading (10 s), high reflectance, low friction force, and low adhesion force are kept until the end of the sliding test for 20 s. In contrast, the effect of hydration lubrication is almost lost during preloading for a long time (300 s). The experimental result shows that attachment of the proteoglycan molecules to the prism causes both adhesion and friction and the water attracted by the proteoglycan molecules in the surface layer prevents adhesion and reduce friction. The mechanism of hydration lubrication in this study is supported by the positive correlation between adhesive force and friction force.

Prism

10.1243/13506501jet87

Cite

Citations (0)