• Title/Summary/Keyword: self-learning

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A Design and Implementation of W-SET system for enhancing Self-Concept (자아개념 증진을 위한 W-SET 시스템의 설계 및 구현)

  • Choi, Jong-Hong;Kim, Dong-Ho
    • Journal of The Korean Association of Information Education
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    • v.6 no.3
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    • pp.288-297
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    • 2002
  • The paradigm of education has changed with the progress of the information and communication technology. In school, there has been developing and animately discussing many data and ways of using web-practicality for teaching and learning. On the other hand, relatively, there are negligent faces about web-practicality for extension of emotion and will of our children. The common points of pre-studies about the increase of self-concept show that it is difficult to join all of the information because the work is off-line, therefore limiting it's advance so that the program is improved. This study has designed and embodied the system of web based self-expression training program. The result of application of this system has showed the positive effect on formation of self-concept of Cheongju elementary school students.

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Enhancing Visualization in Self-Organizing Maps (SOM에서 개체의 시각화)

  • Um Ick-Hyun;Huh Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.18 no.1
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    • pp.83-98
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    • 2005
  • Exploring distributional patterns of multivariate data is very essential in understanding the characteristics of given data set, as well as in building plausible models for the data. For that purpose, low-dimensional visualization methods have been developed by many researchers along various directions. As one of methods, Kohonen's SOM (Self-Organizing Map) is prominent. SOM compresses the volume of the data, yields abstraction from the data and offers visual display on low-dimensional grids. Although it is proven quite effective, it has one undesirable property: SOM's display is discrete. In this study, we propose two techniques for enhancing quality of SOM's display, so that SOM's display becomes continuous. The proposed methods are demonstrated in two numerical examples.

Self Health Diagnosis System of Oriental Medicine Using Enhanced Fuzzy ART Algorithm (개선된 퍼지 ART 알고리즘을 이용한 한방 자가 진단 시스템)

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.2
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    • pp.27-34
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    • 2010
  • Recently, lots of internet service companies provide on-line health diagnosis systems. But general persons not having expert knowledge are difficult to use, because most of the health diagnosis systems present prescriptions or dietetic treatments for diseases based on western medicine. In this paper, a self health diagnosis system of oriental medicine coinciding with physical characteristics of Korean using fuzzy ART algorithm, is proposed. In the proposed system, three high rank of diseases having high similarity values are derived by comparing symptoms presented by a user with learned symptoms of specific diseases based on treatment records using neural networks. And also the proposed system shows overall symptoms and folk remedies for the three high rank of diseases. Database on diseases and symptoms is built by several oriental medicine books and then verified by a medical specialist of oriental medicine. The proposed self health diagnosis system of oriental medicine showed better performance than conventional health diagnosis systems by means of learning diseases and symptoms using treatment records.

The moderating roles of employees' self-efficacy and trust in leader on the relationship between ethical leadership and employees' behaviors (윤리적 리더십과 종업원의 행동 간의 관계-종업원의 자기효능감과 리더에 대한 신뢰의 조절효과를 중심으로)

  • Kim, Young-Hyung;Kim, Hye-Kyoung
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.71-81
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    • 2016
  • The purpose of this study was to investigate the effect of ethical leadership on employees' behaviors (deviant behavior and personal initiative) and to explore the moderating roles of self-efficacy and trust in leader in the relationship between ethical leadership and employees' behaviors. This study developed four hypotheses and tested them using regression and hierarchical regression analyses. The results showed that the negative relationship between ethical leadership and deviant behavior and the positive relationship between ethical leadership and personal initiative were statistically supported. And this study found that self-efficacy and trust in leader played moderating roles in the relationship between ethical leadership and employees' behaviors. Based on the findings of the study, this study presented managerial implications and suggestions for future studies.

Elementary Teachers' Professionalism for Teaching Environmental Subjects (초등교사의 환경관련 수업에 대한 교사전문성)

  • Son Yeon-A;Kim Kyoung-Ran;Min yeong-Mee;Choi Don-Hyung
    • Journal of Korean Elementary Science Education
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    • v.24 no.2
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    • pp.174-182
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    • 2005
  • The purpose of this study was to analyze the professionalism of elementary school teachers and to draw out factors which elementary teachers should try to improve their professionalism for environmental education. For the study, both Quantitative analysis and qualitative methodologies were applied: First, randomly selected 483 elementary teachers from Seoul and Gyeonggi self responded to 5 evaluation areas by Hungerford et al. (1994) to evaluate their environmental education professionalism through the use of five point Likert scale. Second, 2 elementary teachers' environmental classes were observed for the purpose of analyzing strengths and weaknesses in classroom instruction, and then the results of self-evaluation on environmental education professionalism and teacher professionalism as shown in the classes were compared. It was found that 483 elementary teachers including 2 teachers fer analyzing classroom instruction who performed a self-evaluation gave themselves mid-scores on the Hungerford et al.'s 5 evaluation areas. However, the result of self-evaluation did not correspond with the result of actual class observation and teacher interview. That is, the actual environmental classes conducted by 2 teachers did not seemed to reflect the evaluation areas which were the foundation of the study: the conceptual awareness, the investigation & evaluation, environmental action skills, and educational application. The results of this study can be used as the basis reference to develop teaching-learning program and in-service programs for professional development of teachers for successful application of environmental education in elementary school classes.

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Servo Control of Hydraulic Motor using Artificial Intelligence (인공지능을 이용한 유압모터의 서보제어)

  • 신위재;허태욱
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.49-54
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    • 2003
  • In this paper, we propose a controller with the self-organizing neural network compensator for compensating PID controller's response. PID controller has simple design method but needs a lot of trials and errors to determine coefficients. A neural network control method does not have optimal structure as the parameters are pre-specified by designers. In this paper, to solve this problem, we use a self-organizing neural network which has Back Propagation Network algorithm using a Gaussian Potential Function as an activation function of hidden layer nodes for compensating PID controller's output. Self-Organizing Neural Network's learning is proceeded by Gaussian Function's Mean, Variance and number which are automatically adjusted. As the results of simulation through the second order plant, we confirmed that the proposed controller get a good response compare with a PID controller. And we implemented the of controller performance hydraulic servo motor system using the DSP processor. Then we observed an experimental results.

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A study on physical activities by applying a social cognitive theory (사회인지이론을 적용한 신체활동에 관한 문헌고찰)

  • Han, Eun-Ok;Moon, In-Ok
    • The Journal of Korean Society for School & Community Health Education
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    • v.6
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    • pp.117-126
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    • 2005
  • This study attempted to extract a suggestive point to help the design of a program, which is used to promote physical activities, by applying a social cognitive theory based on literature review on the physical activity based on a social cognitive theory. This study considers 10 journal articles that used a social cognitive theory, physical activity, and exercise as the major variable using the EBSCOhost Academic Search Premier and Educator's Reference Desk (ERIC). The type of papers was analyzed using a certain criterion, which can be configured according to the number of each year's papers, characteristics of research subjects, application type of a social cognitive theory, and classification of the application of objects in a social cognitive theory. The characteristics of each year's papers presented no specific characteristics for each year's papers, but the study in 2004 especially presented a high level. The characteristics of research subjects presented four highest cases in the case of the college student, and there were zero cases for children. The application type of studies on physical activities using a social cognitive theory can be largely classified as three types. The results of the measurement using a sectional investigation for SCT objects were 2 cases, the application of SCT for promoting physical activities was 1 case, and the demonstration of evaluation for the effect of SCT objects presented 8 highest cases. Although the social cognitive theory in the characteristics of the classification of object applications can be classified as 10 objects, there were no cases that used 10 all objects, partial applications of the object were measured in 8 studies, and two cases presented no detailed considerations on the object. Most of studies used a part of the object where the application of self-efficacy were measured by 8 highest cases. In addition, there were no measurements on the situation, observation learning, answer and response, and self-management. The elements of attitude, cognitive activity, self-efficacy, and handicaps among the SCT object were commonly used, and studies that the self-efficacy largely affects on the promotion of physical activities presented the main current.

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Rethinking of Self-Organizing Maps for Market Segmentation in Customer Relationship Management (고객관계관리의 시장 세분화를 위한 Self-Organizing Maps 재고찰)

  • Bang, Joung-Hae;Hamel, Lutz;Ioerger, Brian
    • Journal of Intelligence and Information Systems
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    • v.13 no.4
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    • pp.17-34
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    • 2007
  • Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

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Shadow Removal based on the Deep Neural Network Using Self Attention Distillation (자기 주의 증류를 이용한 심층 신경망 기반의 그림자 제거)

  • Kim, Jinhee;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.26 no.4
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    • pp.419-428
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    • 2021
  • Shadow removal plays a key role for the pre-processing of image processing techniques such as object tracking and detection. With the advances of image recognition based on deep convolution neural networks, researches for shadow removal have been actively conducted. In this paper, we propose a novel method for shadow removal, which utilizes self attention distillation to extract semantic features. The proposed method gradually refines results of shadow detection, which are extracted from each layer of the proposed network, via top-down distillation. Specifically, the training procedure can be efficiently performed by learning the contextual information for shadow removal without shadow masks. Experimental results on various datasets show the effectiveness of the proposed method for shadow removal under real world environments.

A Study on Self-medication for Health Promotion of the Silver Generation

  • Oh, Soonhwan;Ryu, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.82-88
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    • 2020
  • With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.