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Research paper | 13-December-2017


The present paper deals with a view of the availability of high-speed sensor profilers, which has given dramatically increased possibilities to analyze imperfections in pavement surfaces such as roughness. Technical parameters of such profilers, for sensing and analyzing pavement surface profile are described. In addition, the main investigation concentrates on the evolutional process of pavement roughness evaluation. For this purpose a high-speed laser profiler is used to sense roughness data

Andreas Loizos, Christina Plati

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 370–387

Article | 12-April-2018

Research on Fault Diagnosis Technology of CNC Machine Tool Based on Machining Surface Roughness

This paper studied the relationship between the spindle fault and the roughness characteristics, by surface roughness of machining. Spindle common fault is divided into the spindle system is not balanced, the spindle system is not right, the spindle system has a transverse crack and the spindle system rolling bearing failure. The characteristic amount of the machining surface is extracted by CCD laser speckle surface roughness measurement technique. Machine fault information and rough surface

Zhou Guang-wen, Mao Chun-yu, Tian Mei, Sun Yan-hong

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 98–102

research-article | 23-April-2019

Low cost structured-light based 3D surface reconstruction

Background Being an important quality parameter for many different products, the surface levelness requires close and continuous monitoring during manufacturing. Surfaces in manufactured objects can be classified into different categories, which include ideal surfaces that have neither slope nor roughness; surfaces that have some slope without roughness; and surfaces with both slope and roughness (Fig. 1). Depending on the applications and final use of a product, appropriate inspection of

Yijun Yan, Maher Assaad, Jaime Zabalza, Jinchang Ren, Huimin Zhao

International Journal on Smart Sensing and Intelligent Systems, Volume 12 , ISSUE 1, 1–11

Article | 02-November-2017


The study of new nanostructured transparent materials in order to control the permeability properties of the objects is a very interesting field of research due to its enormous applications in optical and electronics among others. With the aim of achieving superhydrophilic coatings it is very important to control some coating parameters such as the water affinity of the coating materials and the overall thickness and roughness at the nanometer scale. In this work transparent superhydrophilic

Miguel Hernaez, Ignacio R. Matias, Jesus M. Corres, Javier Goicoechea, Javier Bravo, Francisco J. Arregui

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 63–74

Short Communication | 07-June-2016

Cytotoxic and Bacteriostatic Activity of Nanostructured TiO2 Coatings

Nanostructures are structures, mainly synthetic (nanosurfaces, cylindrical nanotubes, and nanospheres), which range between 1–100 nm in at least one dimension and can be engineered to a wide range of physical properties. This paper aims to explore the bacteriostatic and cytotoxic characteristics of nano-TiO2 coated specimens of glass, stainless steel and ceramic with different thickness and roughness. The results show that stainless steel and glass specimens with a nano-TiO2 coating

Alessandro Di Cerbo, Federica Pezzuto, Antonio Scarano

Polish Journal of Microbiology, Volume 65 , ISSUE 2, 225–229

Research Article | 01-June-2011


The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the control objectives

A. A. Aldair, W. J. Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 224–243

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