In this paper, we present a machine vision approach for detecting and inspecting circular parts and the parts with circular arcs on the contours. The method uses the Hough transform technique and utilizes the directional information of a normal to the circle at each boundary point. A cubic polynomial curve fitting is used to estimate the normal and determine the concavity of the fitted curve at...

The success of any machine learning system depends critically on effective representations of data. In many cases, especially those in vision, it is desirable that a representation scheme uncovers the parts-based, additive nature of the data. Of current representation learning schemes, restricted Boltzmann machines (RBMs) have proved to be highly effective in unsupervised settings. However, whe...

This paper presents the scientific rationale for the use of a new generation of functionally graded nano-(L = 50-500 nm) based on the Al-N, Ti-N, Ti-C, Al-O and Mo-S nanolayers (l = 1-10nm) on steel to improve durability for operation in extreme operating conditions of parts and units of machines and mechanisms

Department of C o n t r o l E n g i n e e r i n g Osaka U n i v e r s i t y Toyonaka, Osaka, Japan

The epidemic of obesity and type 2 diabetes has increased interest in pathways that affect energy balance in mammalian systems. Brown fat, in all of its dimensions, can increase energy expenditure through the dissipation of chemical energy in the form of heat, using mitochondrial uncoupling and perhaps other pathways. We discuss here some of the thermodynamic and cellular aspects of recent prog...

The following paper will describe a methodology for automatically detecting and diagnosing rolling element bearing wear. The techniques involved have been proven in over 15 years of use in a huge variety of environments, machine types and applications. The techniques involved in diagnosing bearing wear will be described in detail and supported by a set of example graphs and an annotated diagnos...

This paper describes a vision system based on the photometric stereo system and a model generator called GEOMAP. The photometric stereo system obtains a needle map from shading information of an observed image. An extended Gaussian image of the needle map reduces possible attitudes of an object relative to the viewer. A model-generator called GEOMAP generates a needle map which would be observe...

The objective of this research is to investigate the feasibility of utilizing the multi-scale analysis and support vector machine (SVM) classification scheme to diagnose the bearing faults in rotating machinery. For complicated signals, the characteristics of dynamic systems may not be apparently observed in a scale, particularly for the fault-related features of rotating machinery. In this res...

In this paper, a comparative study of the Artificial Intelligence (AI) techniques for condition monitoring cylindrical roller bearing is presented. For feature selection, wavelet analysis applied using ‘sym2’ as mother wavelet. Nine features are considered training and evaluation AI then effectiveness compared. Bearing sample data consists four different conditions having defective inner race, ...