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논리적 형식을 이용한 특수체육교육복지 지식네트워크의 개념화
최혜라 龍仁大學校 2010 용인대학교 논문집 Vol.28 No.-
The purpose of this paper is to provide examples of relation-creating knowledge networks and to address the concept organizational issues and challenges of a network orientation. Design/methodology/approach: To derive hidden facts from knowledge, a number of logical form have been proposed. Logical forms are the backbones that provide sementics to the knowledge network by defining shared and common terms. For logical form with large amount of knowledge, the universal relation will be extremely large and thus leads to the scalability problem. To overcome the scalability problem, conceptual model have been proposed. these model perform reasoning by incorporating the use of a proposition form. Also, to support conceptualizing for all the types of proposition defined in logical form. I propose an efficient conceptualizing
최혜라 龍仁大學校 人文社會科學硏究所 2002 인문사회논총 Vol.- No.8
통합교육에 관한 장애인복지적 고찰은 관계를 중요시하며, 이들 관계가 본질적으로 역동적인 것으로 보고 있다. 장애인복지의 새로운 비젼(vision)이란 재래의 전문적인 구분을 넘어서서, 복지를 관계와 통합의 견지에서 보려는 데에 그 기반을 두고 있는 것이다. 이 현상을 이해하기 위하여 나는, 최근에 나타난 통합의 개념들을 논의하면서, 특히 장애인의 복지를 다루는데 있어 어떻게 접근해야 하는가에 집중하고자 한다.
운동지각적 추상에 기반한 읽기장애학생을 위한 추론/학습개발에 관한 연구
최혜라 용인대학교 인문사회과학연구소 2009 인문사회논총 Vol.- No.16
In this study, I introduce a concept of movement image, a inference modeling architecture combining neuronet and polynomial neural networks. These networks are highly nonlinear rule-based models. Neuronet, represents learner's hierarchical knowledge is able to self-organizing and grows adaptive union by proprietor. Additionally, I propose a 'reading inference learning system' which relies upon learner's cognitive union Cognitive union uses both the simplified inference and the synthesis of prediction error in reading processes. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of learning optimization. The object-oriented knowledge framework is proposed to represent the deviations of process variables in the concept equipment and cause-consequence relationship with prediction error. the cause of error is searched by using the object-oriented modeling of cognitive union and the connectivity among cognitive union, and then a prediction error is synthesized. As the consequence structure of 'reading inference learning system' is a flexible architecture whose structure is developed through learning. In particular, the number of layers and nodes of the polynomial network are not fixed in advance but is generated in a dynamic way. In this study, I introduce two kinds of reading inference learning system architectures, namely the basic and modified one. Here the basic and the modified architecture depend on the number of input variables and the order of polynomial in each layer of polynomial network structure. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability. To apply the instructional learning method in this field, I need to consider a inference of learning, as it were, abstraction of movement perception and path through learning, which is based on movement image.