Acoustic evaluation system from off‐the‐shelf instrumentation

1981 ◽  
Vol 69 (S1) ◽  
pp. S7-S7
Author(s):  
Claude Ledoux
Keyword(s):  
Evaluation System ◽  
Acoustic Evaluation

A novel acoustic evaluation system of scratching in mouse dermatitis: Rapid and specific detection of invisibly rapid scratch in an atopic dermatitis model mouse

Life Sciences ◽  
2006 ◽  
Vol 79 (22) ◽  
pp. 2144-2150 ◽  
Author(s):  
Koji Umeda ◽  
Yuichi Noro ◽  
Takaaki Murakami ◽  
Kazuya Tokime ◽  
Hitomi Sugisaki ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Evaluation System ◽  
Specific Detection ◽  
Model Mouse ◽  
Acoustic Evaluation

Novel acoustic evaluation system for scratching behavior in itching dermatitis: Rapid and accurate analysis for nocturnal scratching of atopic dermatitis patients

2014 ◽  
Vol 41 (3) ◽  
pp. 233-238 ◽  
Author(s):  
Yuichi Noro ◽  
Youichi Omoto ◽  
Koji Umeda ◽  
Futa Tanaka ◽  
Yousuke Shiratsuka ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Evaluation System ◽  
Accurate Analysis ◽  
Acoustic Evaluation

A proposed method for assessing the quality of sealants - the CCC Sealant Evaluation System

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):  
Evaluation System

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

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.

Development and Implementation of Productivity Evaluation System: Design Standard Time Ratio

2012 ◽  
Vol 2 (4) ◽  
pp. 134-137
Author(s):  
Prof. Varsha karandikar ◽  
◽  
Sameer Deshpande ◽  
Pratik Deshmukh
Keyword(s):  
System Design ◽  
Evaluation System ◽  
Design Standard ◽  
Standard Time ◽  
Time Ratio
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