• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.688-701
• /
• 2020

In this study, a total of 68 domestic and international papers were selected from 1993 to August 2020 in order to examine the research trends related to artificial intelligence for the visually impaired. The papers were compared and analyzed by the number of papers published by year, research method, research topic, keyword analysis status, research type, and implementation method. As a result of the study, the number of papers during the study period seemed to increase steadily. But in the case of domestic research, It can be seen that it has become active since 2016. As for research methods, development research accounted for 89.7% of both domestic and foreign research. Keywords was in Visually Impaired, Deep Learning, and Assistive Device order in domestic research. And it was in Visually Impaired, Deep learning, Artificial intelligence order in foreign research. There was a difference in the frequency of words. Research type were Design, development and implementation both in domestic and foreign. Implementation method were in System 13.2%, Solution 7.4%, App. 4.4% order in domestic research, and it was in System 32.4%, App. 13.2%, Device 7.4% order in foreign research. As for the applied technology of the implementation method, were in YOLO 2.7%, TTS 2.1%, Tensorflow 2.1% order in domestic research, and it was used in CNN 8.0%, TTS 5.3%, MS-COCO 4.3% order in foreign research. The purpose of this study was to compare and analyze the trends of artificial intelligence-related research targeting the visually impaired, to immediately know the current status of domestic and foreign research, and to present the direction of artificial intelligence research for the visually impaired in the future.

• Journal of Korean Academy of Nursing
• /
• v.30 no.2
• /
• pp.514-526
• /
• 2000

The active treatment phase in preparation for bone marrow transplantation(BMT) of che- motherapy regimen and total body irradiation (TBI) containing regimen requires considerable teaching. There have been researches that are related to treatment onto BMT patients and to psychological change during BMT process. However, it was hard to find researches focused on learning needs of patients undergoing BMT. The purpose of this study was to provide the basic data for effective educational program about BMT by investigating the learning needs in patients undergoing BMT. The subjects consisted of 90 BMT patients have been admitted to the department of BMT at three university hospitals. Data were obtained from October 1998 to March 1999 and analyzed by SAS program for unpaired t-test, ANOVA, Duncan test. The results were as follows : 1. Learning needs related to demographic characteristics was identified as below. That of male was higher than that of female. That of under age 29, unmarried, religious and university graduated group was higher than that of opposite group but it didn't show significant difference. Learning needs of group of patients who were employed was significantly higher then that of unemployed patients. 2. According to types of diagnosis, learning needs of myelodysplastic syndrome(MDS) patients was the higher than that of others, but admission frequency was the least. Learning needs of unrelated matched BMT(UBMT) patients was higher than that of autologous BMT patients. However, it didn't show significant difference. With regard to learning needs according to process of BMT, learning needs of Pre- BMT period or Post-BMT period was significantly higher than that of BMT day. 3. Learning needs related to BMT was relatively high (total mean: 3.11 of 4.0). The order of the mean score of leaning needs was shown as follows : Restricted activities after discharge, Relapse symptom, Complications of BMT, Kinds of available drugs at home. Therefore the learning needs that is related to life after discharge and to relapse and complications after BMT was high. 4. Learning needs related to radiation therapy was high (total mean: 3.35 of 4.0). The learning needs in radiation therapy items was the Skin care of radiation therapy and Purpose of radiation therapy. 5. Learning needs related to graft versus host disease(GVHD) therapy was high (total mean: 3.55 of 4.0). The highest learning needs in GVHD therapy items was the Preventive method GVHD. less admission frequency and UBMT patients. It is necessary that education for BMT patients should be focused on life after discharge and on relapse and complications after BMT. Especially education for allogeneic BMT patients should be emphasized on GVHD. For all of these, it is necessary to develop systematic and concrete educational program.

• 한국노년학
• /
• v.40 no.2
• /
• pp.269-289
• /
• 2020

The purpose of this study was to analyze the policy and programs of the Seoul50Plus Foundation and to propose policies and programs to promote active aging of middle-aged and elderly people. A single case study was utilized as a research method. The analysis framework of case was approached with four frameworks: the context of policy and program, ideology-goal analysis of policy and program, supplier and customer analysis of policy and program, and process and domain analysis of policy and program. The analysis data included the homepage content of the Seoul50Plus Foundation, related 50+ policy and program data, active aging research papers at home and abroad, and presentation and meeting materials. The results of the research showed that the policy and program background and environment were essential elements for responding to environmental changes in the aging society. In terms of the philosophy-goal, job creation, social participation, and approach to life design were systematically carried out for the ideology of 'creating a new life vision' and promoting active aging. In terms of subject-target, the subject of policy implementation is systematically composed of three stages: 50+ foundation, 50+ campus, and 50+ center. The target was limited to 50+ generations(age 50~64) and had a problem that is limited to applicants. In the process-area analysis, programs such as educational support, work and entrepreneurship support, counseling information, and new-age cultural creation activities were designed to increase added value according to the characteristics of the middle-aged people. In conclusion, the future Seoul50Plus Foundation's policy and lifelong learning programs need to be systematically promoted through cooperation with businesses and universities, expanding the target audience, matching the characteristics of the middle-aged and elderly, and linkage among programs.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.616-625
• /
• 2021

Deep neural networks are an approximation method that approximates an arbitrary function to a linear model and then repeats additional approximation using a nonlinear active function. In this process, the method of evaluating the performance of approximation uses the loss function. Existing in-depth learning methods implement approximation that takes into account loss functions in the linear approximation process, but non-linear approximation phases that use active functions use non-linear transformation that is not related to reduction of loss functions of loss. This study proposes parametric activation functions that introduce scale parameters that can change the scale of activation functions and location parameters that can change the location of activation functions. By introducing parametric activation functions based on scale and location parameters, the performance of nonlinear approximation using activation functions can be improved. The scale and location parameters in each hidden layer can improve the performance of the deep neural network by determining parameters that minimize the loss function value through the learning process using the primary differential coefficient of the loss function for the parameters in the backpropagation. Through MNIST classification problems and XOR problems, parametric activation functions have been found to have superior performance over existing activation functions.

• The Journal of the Korea Contents Association
• /
• v.13 no.7
• /
• pp.497-510
• /
• 2013

The researcher's objective is to analyze a case study from the teaching profession course entitled "Instructional Methods and Educational Technology: IMET," in which the instructional method 'Music Technology-Based Learning: MTBL' has been implemented. In addition to the analysis and the completion of the associated 16-week coursework, the researcher conducted an open-ended survey, and conducted and analyzed in-depth interviews, with participants in the case study. Using MTBL in IMET has elicited mostly favorable responses from participants such as "interesting" and "fun." They also mentioned "active learning participation." There were also negative responses to MTBL, citing "the lack of interconnection between MTBL and other teaching profession courses," "the difficulty of hybrid and convergence classes," and "the need for additional time and attention in an individual study." The analysis of this case study indicates that the use of MTBL in teaching profession courses somewhat enhances the understanding of the general concept of integrating technology into education, although some difficulties remain. The analysis of more case studies is required in order to establish more effective training courses, in which learning is not limited to the theoretical aspects of education. Using MTBL as an integrated part of the educational method would help to foster more creative and professional teachers.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.3
• /
• pp.513-520
• /
• 2020

Recently, the development of a vision inspection system using machine learning has become more active. This study seeks to develop a defect inspection model using machine learning. Defect detection problems for images correspond to classification problems, which are the method of supervised learning in machine learning. In this study, defect detection models are developed based on algorithms that automatically extract features and algorithms that do not extract features. One-dimensional CNN and two-dimensional CNN are used as algorithms for automatic extraction of features, and MLP and SVM are used as algorithms for non-extracting features. A defect detection model is developed based on four models and their accuracy and AUC compare based on AUC. Although image classification is common in the development of models using CNN, high accuracy and AUC is achieved when developing SVM models by converting pixels from images into RGB values in this study.

• Journal of Korean Elementary Science Education
• /
• v.32 no.4
• /
• pp.415-422
• /
• 2013

The purpose of this study was to investigate the effects of scientific program for gifted elementary students using metacognition on learning-flow and lingual interaction. For the purpose, the two classes for elementary science of P Institute for Gifted Education located in Pusan were assigned to experimental and control groups, respectively. The experimental and controls groups received eight sessions applying a program for scientifically gifted students using metacognition and same program without using it, respectively. The learning-flow test and the lingual interaction observed among students and between teacher and students pre and post program were compared and analyzed. The results shows that there was no significant difference between pretest and posttest in experimental group, indicating that learning-flow is not a construct obtained by short-term using of metacognition. For the lingual interactions, however, the amounts of conversation and the ratio of high level conversation in experimental group were 1.6 and 1.5 times higher than those in control group. This suggests that the lingual interaction may be varied among classes even with same experiments, by instruction method. The lingual interaction is not active in control group where the experimental results may be obtained easily only with sincere attitude while, in experimental group, questions using metacognition and providing intellectual stimulation is continuously presented, leading to high level of lingual interaction, therefore it is considered that the development of scientific program for gifted elementary students using these advantages is needed.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.3
• /
• pp.395-400
• /
• 2011

In this paper, we propose an study of the facial emotion recognition considering the dynamical variation of emotional state in facial image sequences. The proposed system consists of two main step: facial image based emotional feature extraction and emotional state classification/recognition. At first, we propose a method for extracting and analyzing the emotional feature region using a combination of Active Shape Model (ASM) and Facial Action Units (FAUs). And then, it is proposed that emotional state classification and recognition method based on Hidden Markov Model (HMM) type of dynamic Bayesian network. Also, we adopt a Harmony Search (HS) algorithm based heuristic optimization procedure in a parameter learning of HMM in order to classify the emotional state more accurately. By using all these methods, we construct the emotion recognition system based on variations of the dynamic facial image sequence and make an attempt at improvement of the recognition performance.

• Journal of the Korea Institute of Building Construction
• /
• v.15 no.6
• /
• pp.621-629
• /
• 2015

Construction worker safety and safety training continue to be main issues in the construction industry. In order to promote safety awareness among workers, it is imperative to develop a more effective and efficient safety training. This study compared two methods in construction worker safety training: 1) a conventional lecture and 2) 3D simulation through Building Information Modeling. Both training methods included the same contents, a selection of safety standard and guide suggested by Occupational Safety and Health Agency and the Korea Occupational Safety and Health Agency; the contents were then produced into two types of training methods. A survey was conducted targeting on safety managers, in which the managers evaluated lifelikeness, active learning and enjoyment that each of training methods can promote. The results of the survey showed that innovative method using 3D simulation was more effective than conventional lecture method in terms of its lifelikeness, active learning and enjoyment. This study will provide implications that innovative method using the virtual reality is more effective than conventional lecture method.

• Korean Journal of Human Ecology
• /
• v.21 no.4
• /
• pp.629-647
• /
• 2012

This study explored what Korean college students, especially preservice teacher in early childhood education, experienced and how they constructed the meanings of experiences about their subject- matter course (early childhood mathematics education) taught in English. One cohort- 20 senior students- majoring in early childhood education in a 4-year university was participated in this study. Using action research method and narrative research method, data were analyzed. The findings were as follows: 1) preservice teacher experienced some difficulties to construrct professional knowledge through English. 2) They challenged to overcome these difficulties through active participation. 3) They got supports from instructor and peer group. 4) They accomplished the course with self-satisfaction. 5) They experienced the conflicts between social requirements and personal needs.