Development of Novel Detection Device for Chemical Properties of Dioscorea hispida

2012 ◽  
Vol 626 ◽  
pp. 464-469
Author(s):  
R. Syazili ◽  
R.M. Hudzari ◽  
Ain M. Kamarul ◽  
A.B.C. Abdullah ◽  
M.A.H.A. Ssomad
Keyword(s):  
Vision System ◽  
Color Space ◽  
Chemical Properties ◽  
Statistical Relationship ◽  
Machine Vision Application ◽  
Hardware Component ◽  
Economic Regions ◽  
Non Destructive ◽  
Vision Application

The potential of machine vision application in the determination of alkaloid inDioscorea hispidarhizome was explored. A camera vision system used in this research is chroma meter CR-400 made by Konica Minolta. The first component is the hardware component that functions as an image acquisitioned for the system. The second component is the software part which converts reading obtained from the hardware. From the design review, the images from a variety of harvested ofDioscorea hispidawill be captured and the reading in L*a*b color space were converted. The prediction was also made on the statistical relationship between Hue and dioscorine level in the fruit. With the same rhizomes, 40 grams was selected for chemical analysis at a laboratory for the programme of East Coastal Economic Regions Kementerian Pengajian Tinggi, Universiti Sultan Zainal Abidin, Malaysia (ECER-KPT UniSZA). The samples were selected from 12 portions of 2 plants (I and B) collected from Kampung Kudat, Ajil, Terengganu, Malaysia. The development on this study is grouped as non destructive method to determine the dioscorine content which is one of the alkaloid components in the rhizome ofDioscorea hispida.

scholarly journals Developing an Automatic Color Determination Procedure for the Quality Assessment of Mangos (Mangifera indica) Using a CCD Camera and Color Standards

Foods ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1709
Author(s):  
Khanitta Ratprakhon ◽  
Werner Neubauer ◽  
Katharina Riehn ◽  
Jan Fritsche ◽  
Sascha Rohn
Keyword(s):  
Vision System ◽  
Mangifera Indica ◽  
Color Space ◽  
Evaluation Process ◽  
Ccd Camera ◽  
Optimal Level ◽  
Blue Color ◽  
Color Code ◽  
Color Determination

Color is one of the key sensory characteristics in the evaluation of the quality of mangos (Mangifera indica) especially with regard to determining the optimal level of ripeness. However, an objective color determination of entire fruits can be a challenging task. Conventional evaluation methods such as colorimetric or spectrophotometric procedures are primarily limited to a homogenous distribution of the color. Accordingly, a direct assessment of the mango quality with regard to color requires more pronounced color determination procedures. In this study, the color of the peel and the pulp of the mango cultivars “Nam Dokmai”, “Mahachanok”, and “Kent” was evaluated and categorized into various levels of ripeness using a charge-coupled device (CCD) camera in combination with a computer vision system and color standards. The color evaluation process is based on a transformation of the RGB (red, green, and blue) color space values into the HSI (hue, saturation, and intensity) color system and the Natural Color Standard (NCS). The results showed that for pulp color codes, 0560-Y20R and 0560-Y40R can be used as appropriate indicators for the ripeness of the cultivars “Nam Dokmai” and “Mahachanok”. The peels of these two mango cultivars present two distinct colors (1050-Y40R and 1060-Y40R), which can be used to determine the fruit maturity during the post-ripening process. However, in the case of the cultivar “Kent”, peel color detection was not an applicable approach for determining ripeness; thus, the determination of the pulp color with the color code 0550-Y20R gave promising results.

Multi-Angle Face Detection Using Back Propagation Neural Network

2011 ◽  
Vol 121-126 ◽  
pp. 2411-2415
Author(s):  
Kamarul Hawari Bin Ghazali ◽  
Jie Ma ◽  
Rui Xiao
Keyword(s):  
Neural Network ◽  
Face Detection ◽  
System Development ◽  
Vision System ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Machine Vision Application ◽  
Side Face ◽  
Fatigue Detection ◽  
Vision Application

In machine vision application, the main part to analyze an image is to identify its features which contribute to efficiency of the system. Many applications in vision system and image analysis used face detection as a feature of their whole system development. In application such as video surveillance, fatigue detection and security system, face is a fundamental step in the analysis before proceed to system implementation. It is very challenging to recognize a face from an image due to the wide variety of face and the uncertain of face position. In this paper, we propose a neural network based approach to identify multi-angle face which falls into five categories: all left-side face, half left-side face, positive face, half right-side face, and all right-side face. More than 100 images of each category have been used for training and testing of face detection and its features was extracted to be an input to BP neural network. We analyzed the result of training and testing set of neural network and the best classification achieved was 90.7%.

Stoichiometric Determination of Graphite Intercalation Compounds Using Rutherford Backscatiering Spectrometry

1983 ◽  
Vol 27 ◽  
Author(s):  
L. Salamanca-Riba ◽  
B.S. Elman ◽  
M.S. Dresselhaus ◽  
T. Venkatesan
Keyword(s):  
Experimental Error ◽  
Rutherford Backscattering Spectrometry ◽  
Rutherford Backscattering ◽  
Intercalation Compounds ◽  
Graphite Intercalation Compounds ◽  
X Ray ◽  
Donor And Acceptor ◽  
Graphite Intercalation ◽  
Non Destructive

ABSTRACTRutherford backscattering spectrometry (RBS) is used to characterize the stoichiometry of graphite intercalation compounds (GIC). Specific application is made to several stages of different donor and acceptor compounds and to commensurate and incommensurate intercalants. A deviation from the theoretical stoichiometry is measured for most of the compounds using this non-destructive method. Within experimental error, the RBS results agree with those obtained from analysis of the (00ℓ) x-ray diffractograms and weight uptake measurements on the same samples.

THE IMPORTANCE OF THE RED BOOK OF SOILS FOR MONITORING AND JUSTIFICATION OF CONSERVATION MEASURES

2020 ◽  
Author(s):  
O.S. Bezuglova ◽  
Keyword(s):  
Chemical Properties ◽  
Natural State ◽  
Soil Maps ◽  
Rostov Region ◽  
Conservation Measures ◽  
Background Data ◽  
The Russian Federation ◽  
Physical And Chemical ◽  
And Chemical Properties

Rostov Region belongs to the highly protected natural territories characterized by the continuous plowing. There territories are the only reserves with the soils preserved in their natural state. However, these areas often lack detailed information about the soils quality and composition. Surveying soils on these territories is crucial for determination of their basic physical and chemical properties. The resulted compilation of soil maps could lay a foundation for creating the Red Book of Soils and the formation of a section in the soil-geographical database of the Russian Federation. Subsequently, such information can be used as a background data for the main types of soils in the region. It will be also valuable during monitoring and justification of conservation measures.

Application of EDS Technique for OSP Film Thickness Measurement

2006 ◽  
Author(s):  
Prong Kongsubto ◽  
Sirarat Kongwudthiti
Keyword(s):  
Thin Film ◽  
Quantitative Analysis ◽  
Joint Strength ◽  
Critical Factor ◽  
Thickness Measurement ◽  
Ic Manufacturing ◽  
And Control ◽  
Film Thickness Measurement ◽  
Non Destructive

Abstract Organic solderability preservatives (OSPs) pad is one of the pad finishing technologies where Cu pad is coated with a thin film of an organic material to protect Cu from oxidation during storage and many processes in IC manufacturing. Thickness of OSP film is a critical factor that we have to consider and control in order to achieve desirable joint strength. Until now, no non-destructive technique has been proposed to measure OSP thickness on substrate. This paper reports about the development of EDS technique for estimating OSP thickness, starting with determination of the EDS parameter followed by establishing the correlation between C/Cu ratio and OSP thickness and, finally, evaluating the accuracy of the EDS technique for OSP thickness measurement. EDS quantitative analysis was proved that it can be utilized for OSP thickness estimation.

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