scholarly journals COMPUTER BASED ENGLISH SPEAKING TEST BASED ON ARTIFICAL NEURAL NETWORK

2020 ◽  
Vol 1 (1) ◽  
pp. 29-36
Author(s):  
Yu Min ◽  
Chao Li ◽  
Xin Wang

English testing is a most common test conducted around the world for evaluating an individual’s English capabilities in mostly reading, writing, speaking, and listening domain. With increased cost and higher subjective assessment attached in some tests, there is required to change the test from traditional method to computer based. In this study, a proposed method for conducting speaking test for English based on objective assessment method. The proposed system is able to identify different dialects based on unit analysis of syllable along with phonetic errors. The proposed system is based on pronunciation parameters and neural network for evaluation purpose. The PSO algorithm is used for training the artificial neural network. The experiment result conducted for validating the proposed system shows promising performance

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Pieter J. van Empel ◽  
Lennart B. van Rijssen ◽  
Joris P. Commandeur ◽  
Mathilde G. E. Verdam ◽  
Judith A. Huirne ◽  
...  

Background. The equality of subjective- and objective-assessment methods in laparoscopic surgery are unknown. The aim of this study was to compare a subjective assessment method to an objective assessment method to evaluate laparoscopic skill. Methods. A prospective observational cohort study was conducted. Seventy-two residents completed a basic laparoscopic suturing task on a box trainer at two consecutive assessment points. Laparoscopic skill was rated subjectively using the Objective Structured Assessment of Technical Skills (OSATS) list and objectively using the TrEndo, an augmented-reality simulator. Results. TrEndo scores between the two assessment points correlated. OSATS scores did not correlate between the two assessment points. There was a correlation between TrEndo and OSATS scores at the first assessment point, but not at the second assessment point. Overall, OSATS scores correlated with TrEndo scores. There was a greater spread within OSATS scores compared to TrEndo scores. Conclusion. OSATS scores correlated with TrEndo scores. The TrEndo may be more responsive at rating individual’s laparoscopic skill, as demonstrated by a smaller overall spread in TrEndo scores. The additional value of objective assessment methods over conventional assessment methods as provided by laparoscopic simulators should be investigated.


2015 ◽  
Vol 60 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Michael Jones ◽  
Michael Jump

Unmasking aircraft pilot couplings (APCs) prior to vehicle entry into service have been a long standing challenge in the aerospace industry. APCs, often only exposed through unpredictable or very specific circumstances, have arisen throughout the history of manned powered flight and have required stopgap “fixes” to ensure system safety once a problem has been identified. This paper describes two newly created novel tools, one objective and one subjective, to detect and analyze APCs. The Phase Aggression Criterion is the objective assessment method and, in the advanced form described in this paper, is capable of APC detection in near real time. The innovative Adverse Pilot Coupling Scale is a subjective assessment method for APCs experienced during completion of closed-loop tasks. Results from the application of both of these tools are presented as well as the very good correlation between them. Furthermore, the application of the tools to simulated flight-test data has shown how existing handling qualities mission task element courses and their associated performance tolerances can be inadequate when used to unmask the proneness of a pilot–vehicle system to APC.


2020 ◽  
Vol 64 (1) ◽  
pp. 10505-1-10505-16
Author(s):  
Yin Zhang ◽  
Xuehan Bai ◽  
Junhua Yan ◽  
Yongqi Xiao ◽  
C. R. Chatwin ◽  
...  

Abstract A new blind image quality assessment method called No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics is proposed, which is aimed at solving the problem that the existing no-reference image quality assessment methods cannot determine the type of image distortion and that the quality evaluation has poor robustness for different types of distortion. In this article, an 18-dimensional image feature vector is constructed from gradient magnitude features, relative gradient orientation features, and relative gradient magnitude features over two scales and three orders on the basis of the relationship between multi-order gradient statistics and the type and degree of image distortion. The feature matrix and distortion types of known distorted images are used to train an AdaBoost_BP neural network to determine the image distortion type; the feature matrix and subjective scores of known distorted images are used to train an AdaBoost_BP neural network to determine the image distortion degree. A series of comparative experiments were carried out using Laboratory of Image and Video Engineering (LIVE), LIVE Multiply Distorted Image Quality, Tampere Image, and Optics Remote Sensing Image databases. Experimental results show that the proposed method has high distortion type judgment accuracy and that the quality score shows good subjective consistency and robustness for all types of distortion. The performance of the proposed method is not constricted to a particular database, and the proposed method has high operational efficiency.


MANUSYA ◽  
2009 ◽  
Vol 12 (1) ◽  
pp. 73-96
Author(s):  
Sutthirak Sapsirin ◽  
Kanchana Prapphal ◽  
Lyle F. Bachman

This study investigated the strategies used by examinees when performing a computer-based speaking test. The data were collected from nine university students through a retrospective interview. The results showed that the examinees used several strategies, ranging from goal setting, assessment, planning to communication strategies. These strategies seemed to be associated with the constructs the CBST aimed to measure. It can be concluded that the findings provide evidence that supports the validity of the CBST score interpretations.


1998 ◽  
Vol 112 (10) ◽  
pp. 934-939 ◽  
Author(s):  
Dipak Ranjan Nayak ◽  
R. Balakrishnan ◽  
K. Deepak Murthy

AbstractThe authors have used the nasal endoscope for the precise identification of pathological abnormalities of the nasal septum in relation to the lateral nasal wall including the osteo-meatal complex and in its ultraconservative management. The aim of the study was to compare the efficacies of endoscope-aided septoplasty (EAS) over traditional septoplasty (TS) in treating the pathological septum and turbinates, performed in 30 cases each. The subjective assessment was carried out by visual analogue scores and objective assessment by nasal endoscopy. This study demonstrates the superiority and limitations of the endoscopic approach in managing a deviated nasal septum and the turbinates. The endoscope-aided technique was found to be more effective in relieving the contact areas and nasal obstruction (p = ≤0.05). The authors advocate a combined approach – an endoscopic approach for inaccessible posterior deviation and the conservative traditional technique for accessible anterior deviation of the nasal septum.


2013 ◽  
Vol 411-414 ◽  
pp. 1362-1367 ◽  
Author(s):  
Qing Lan Wei ◽  
Yuan Zhang

This paper presents the thoughts about application of saliency map to the video objective quality evaluation system. It computes the SMSE and SPSNR values as the objective assessment scores according to the saliency map, and compares with conditional objective evaluation methods as PSNR and MSE. Experimental results demonstrate that this method can well fit the subjective assessment results.


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