• The Journal of Sustainable Design and Educational Environment Research
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• v.4 no.4
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• pp.39-54
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• 2004

In this study, the following findings were obtained: First, life-long educational system should be reinforced that can train and educate people to fit their situation and provide the necessary manpower in a just-in-time manner by getting away from the school-centered education and rapidly introducing the knowledge required in both the world market and the domestic market. This can be said to be the global trend in the ubiquitous age. Second, government should make efforts to build up the life-long educational system that can make the persons trained and educated in schools the manpower required by the state and society. Third, Life-long learning policy starts with providing for the system of lifting all kinds of limits and obstacles so that anyone needing learning can learn and his learning may not discriminated from schooling. For this policy or system to be effectively promoted, government should reinforce administrative and financial support system for investment in and research on the ubiquitous department. Fourth, It is quiet right that the very effort we are going give the super to the ubiquitous education is a shortcut to solving rapidly lots of problems heaped on our present life-long educational system.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.217-239
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• 2006

21st century is a knowledge and information society. Keeping pace with this global environment change. people demand various roles from a library First, they demand to play a role of an 'Information Connector' rather than a traditional role of a 'Book Container'. Second, they demand to be the place of the social integration for a solution to the information and learning gap and the place for a life-long learning for HRD(Human Resources Development) by the community unit. In addition, not only introducing a system of 'Deputy Prime Minister and Minister of Education & HRD' for national HRD and 'Five-Day Week' but the advent of 'an Aging Society' demand a change of a library. This study researches roles of a library inseparably related to such new paradigms in the life-long learning society as the knowledge. information, five-day week. aging and HRD, and shows the right direction of a library to pursue in the future.

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.64-75
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• 2008

The purpose of the study was to verify reliability and validity of SDLRS instrument and to prove up possibility of usage as an evaluation method for evaluating life-long learning. Literature review and survey were used to accomplish objectives of the study. 218 students in department of mechanical engineering of A university at Gyunggi province were responded for SDLRS(Guglielmino, 1977) instrument. Data were analyzed using descriptive statistics, factor analysis, t-test, and ANOVA test. 58 items in original version instrument were converted to 23 items. There were 7 factors for assessing the self-directed learning readiness according to this measurement scale with a total variance of about 58%. The total reliability of the final 23 items was $\alpha$. The final 7 factors consisted of love for learning, openness for learning, self-perception, basic learning function and independence, acceptance of responsibility for learning, leadership and future directivity, and creativity and exploration. The result of SDLRS analysis according to individual background, there were significant statistically in the grade, period of employment in industry, entering graduate school or not, and GPA, but no significant statistically in sexual difference, employment in industry or not, final academic level of parent, and income level of the family. In the future, final instrument will be needed to check in the respect of correlation with another ability and skill influencing on life-long learning, and more study will be done for developing life-long learning.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.1
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• pp.48-55
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• 2022

This paper proposes a battery remaining useful life (RUL) prediction method using a deep learning-based EMD-CNN-LSTM hybrid method. The proposed method pre-processes capacity data by applying empirical mode decomposition (EMD) and predicts the remaining useful life using CNN-LSTM. CNN-LSTM is a hybrid method that combines convolution neural network (CNN), which analyzes spatial features, and long short term memory (LSTM), which is a deep learning technique that processes time series data analysis. The performance of the proposed remaining useful life prediction method is verified using the battery aging experiment data provided by the NASA Ames Prognostics Center of Excellence and shows higher accuracy than does the conventional method.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.805-812
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• 2005

Smart home is one of the ubiquitous environment platforms with various complex sensor-and-control network. In this paper, a now learning methodology for learning user's behavior preference pattern is proposed in the sense of reductive user's cognitive load to access complex interfaces and providing personalized services. We propose a fuzzy inductive learning methodology based on life-long learning paradigm for knowledge discovery, which tries to construct efficient fuzzy partition for each input space and to extract fuzzy association rules from the numerical data pattern.

• Journal of Engineering Education Research
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• v.12 no.4
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• pp.75-83
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• 2009

The purpose of this study was to verify factor structure and validation of Oddi Continuing Learning Inventory (OCLI) and prove up possibility of usage as an evaluation tool for evaluating life-long learning. 330 students in school of engineering of I university at Incheon province were responded for OCLI. Data were analyzed using descriptive statistics, exploratory factor analysis and confirmatory factor analysis. As the exploratory factor analysis results, 24 items in original version were converted to 19 items. The total reliability was .774 and the total covariance was 40.57%. As the confirmatory factor analysis results, four items were removed and GFI .938, AGFI .915, CFI .908 appeared to fit all the criteria. The RMSEA index 0.054 also appeared to fit significantly higher.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.113-120
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• 2022

Mongolian folk songs are inspired by Mongolian labor songs and are classified into long and short songs. Mongolian long songs have ancient origins, are rich in legends, and are a great source of folklore. So it was inscribed by UNESCO in 2008. Mongolian written literature is formed under the direct influence of oral literature. Mongolian long song has 3 classes: ayzam, suman, and besreg by their lyrics and structure. In ayzam long song, the world perfectly embodies the philosophical nature of world phenomena and the nature of human life. Suman long song has a wide range of topics such as the common way of life, respect for ancestors, respect for fathers, respect for mountains and water, livestock and animal husbandry, as well as the history of Mongolia. Besreg long songs are dominated by commanded and trained characters. In this paper, we proposed a method to classify their 3 types of long songs using machine learning, based on their lyrics structures without semantic information. We collected lyrics of over 80 long songs and extracted 11 features from every single song. The features are the name of a song, number of the verse, number of lines, number of words, general value, double value, elapsed time of verse, elapsed time of 5 words, and the longest elapsed time of 1 word, full text, and type label. In experimental results, our proposed features show on average 78% recognition rates in function type machine learning methods, to classify the ayzam, suman, and besreg classes.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.223-226
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• 2007

지식 발견 (knowledge discovery)의 관점에서, 단기간 동안 취득된 데이터 패턴을 학습하고자 하는 경우 데이터에 비일관적인(inconsistent) 패턴이 포함되어 있다면 확률적 퍼지 룰(probabilistic fuzzy rule) 기반의 지식 표현 방법 및 적절한 학습 알고리즘을 이용하여 효과적으로 다룰 수 있다. 하지만 장기간 동안 지속적으로 얻어진 데이터 패턴을 다루고자 하는 경우, 데이터가 시변(time-varying) 특성을 가지고 있으면 기존에 추출된 지식을 변화된 데이터에 활용하기 어렵게 된다. 때문에 이러한 데이터를 다루는 학습 시스템에는 패턴의 변화에 맞추어 갈 수 있는 지속적인 적응력(adaptivity)이 요구된다. 본 논문에서는 이러한 적응성의 측면을 고려하여 평생 학습(life-long learning)의 관점 에 서 확률적 퍼지 룰 기반의 학습 시스템에 적용될 수 있는 두 가지 형태의 적응 방법에 대해서 설명하도록 한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.61-70
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• 2014

The government supports the various systems on the premise of life-long education for improving the qualification of its people and supporting the lifelong career system. These systems help the educational activities for every generation from the teens. Each government department supports the learning activities for those who are related. In addition, each government department systemizes the regular education for advancing the performance of civil servant, by obliging a self-directed system to their member as well as by reflecting this educational activities in a promotion. This style of learning is provided not only offline but also online. However, not all necessary educational contents is furnished within the department. It is sometimes necessary to cooperate with the commissioned education and a professional educational institution. This thesis suggests three model systems while comparing one another. This paper suggests three system model. The first model is e-contents open place. The second model is e-contents open place. Finally, the suggest model is mixed form.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.235-246
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• 2014

This study was aimed to find out the relationships among the types of participation motive to life-long education, the degree of education satisfaction and perception degree to the successful aging of the elderly. 414 questionnaires were collected from the elderly who are 65years plus and attend the life-long education program provided by well-fare center in Chunan-city, Chungchongnam-do. The t-test, ANOVA, and regression analysis, etc were carried out using SPSS 11.0 ver. to analyze the data. The results are as follows. First, the types of participation motive to life-long education were sorted out as the action-oriented motive, goal-oriented motive and learning-oriented motive. Second, The education satisfaction was affected positively by the learning-oriented motive. Third, the action-oriented and learning-oriented motive affect the perception degree to the successful aging positively. Forth, The education satisfaction degree affect the perception degree to the successful aging positively.