Parallel computing techniques for concept-cognitive learning based on granular computing

2018 ◽  
Vol 9 (11) ◽  
pp. 1785-1805 ◽  
Author(s):  
Jiaojiao Niu ◽  
Chenchen Huang ◽  
Jinhai Li ◽  
Min Fan
1989 ◽  
Vol 20 (3) ◽  
pp. 320-332 ◽  
Author(s):  
David A. Shapiro ◽  
Nelson Moses

This article presents a practical and collegial model of problem solving that is based upon the literature in supervision and cognitive learning theory. The model and the procedures it generates are applied directly to supervisory interactions in the public school environment. Specific principles of supervision and related recommendations for collaborative problem solving are discussed. Implications for public school supervision are addressed in terms of continued professional growth of both supervisees and supervisors, interdisciplinary team functioning, and renewal and retention of public school personnel.


1998 ◽  
Vol 49 (7) ◽  
pp. 770-771
Author(s):  
V J Rayward-Smith
Keyword(s):  

2019 ◽  
Vol 5 (2) ◽  
pp. 104-111
Author(s):  
Dian Puspita Eka Putri

This study aims to review  the effectiveness of using android-based multimedia learning  to improve achievement cognitive learning outcome of students. The research method is the analysis of field studies. The focus in this research is Multimedia which can influence cognitive learning outcomes of students. data obtained in this study from the literature and direct field observations. The research subjects were high school students in Yogyakarta. The result of analysis and discussion of research indicate that there is the influence of multimedia learning to increase student achievement, which is indicated by increasing post-test result  than before  not using multimedia learning. Posttest value is greater than pretest.


2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.


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