Design of an Appearance Evaluation System for Porcelain Ware

2013 ◽  
Vol 655-657 ◽  
pp. 727-730
Author(s):  
Li Gang Cao ◽  
Hao Feng

To improve the efficiency and accuracy of porcelain appearance evaluation, a kind of automatic evaluation system was presented, which composed with industrial cameras, USB(Universal Serial Bus) data acquisition card and step motor etc. The software was mainly developed with C# language. Modules such as image pre-processing and evaluation algorism etc, were developed with matlab program language. Communication between C# program and matlab program was implemented with component technology. Experiments with bowls show that the system can conveniently evaluate the porcelain by its appearance and the result is accurate.

2014 ◽  
Vol 9 (2) ◽  
pp. 62
Author(s):  
Roza Susanti

In fabrication of compos mixing machine based on microcontroller, an AC motor 1 phase used to rotate the container and it will help the farmer work in stirring and mixing compos material. In order to display the process, a LCD is use in this fabrication.The design of this machine is divided into two categories, hardware design and software design. The hardware consist of an AVRATmega 8535  microcontroller minimum system , a LCD, Keypad,  an AC Motor 1 phase, a Capacitor, and a relay.  In the order hand for software design, a Code vision-AVR program language as the program application. The data analysis techniques are conducted by testing the machine performs.  Not only by measuring operating voltages, but also testing the microcontroller with a program application.This machine is based on microcontroller AVRATmega8535 and using C language in programming. In order to display the mixing output, time setting is displayed on LCD. The optimum result started from the first 10 seconds ON condition and the second of 10 seconds ON condition should have a 30 seconds time off.


2001 ◽  
Vol 29 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Christopher Deery ◽  
Hazel E. Fyffe ◽  
Zoann J. Nugent ◽  
Nigel M. Nuttall ◽  
Nigel B. Pitts
Keyword(s):  

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.


2012 ◽  
Vol 2 (4) ◽  
pp. 134-137
Author(s):  
Prof. Varsha karandikar ◽  
◽  
Sameer Deshpande ◽  
Pratik Deshmukh

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