• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.105-112
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• 2020

This study categorized the developments of advanced online education in Korea, which have achieved rapid growth for past 20 years, and analyzed the characteristics of each stage. Starting from the introduction stage, which focused on video content and basic LMS, it went through a growth stage in which the transition from lifelong to advanced education institute, and the first online graduate program accreditation were achieved. In the maturity stage, the expansion of online graduate programs led to the spread of online real-time classes and seminars, and the introduction and proliferation of smart-phone also paved the way for smart learning. However, as the non-face-to-face teaching method was suddenly implemented as a whole due to the COVID-19 pandemic, online education has rapidly developed and also faced various problems to improve the quality of education. By analyzing and reviewing the trend, this study discussed the problems facing the current revolutionary period and what needs to be solved for future development.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.5
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• pp.129-138
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• 2018

The purpose of this study is to analyze and evaluate the significance of undulated planes of architectural landscape methodology, to assess if the methodology had potential to be a sustainable architectural model, to be experimented in future. To achieve this purpose, the historical origins and changes of the landscape is discussed to analyse how it influenced modern architecture. Then the effects of panoramic sensibility derived from the picturesque garden is analysed to evaluate the influence it had on the change of the perception of space and modern architecture and landscape design strategy. Then 1980s and 1990s' symposiums and landscape theories are examined. To find pivotal moment of merging landscape and architecture, the design schemes of Bernard Tchumi and OMA for La Villette competition are selected as manifestations to show co-existence of landscape and architecture. Afterwards Yokohama ferry terminal is analyzed to present the undulated planes deployed for the union of landscape and architecture, to the affect of uninterrupted spatial connectivity. The impact of undulated plane on interior is explored in analysis of Rolex Learning Center, consequently changing the relationship within functions of the interior and the role of circulation. Finally, the spatial characteristics and significance of undulated plane is explored. The spatial characteristics are, the relationship beyond the visual connection through seamless connection; the multiple access paths and discard of transition space thereby diminishing boundaries; the environmentalization of architecture by spatializing circulation and promoting in-hierarchy. The significance of undulated planes are, the synthesis form of architectural typology; the cultivation of public sense; the closest spatial type to the space of appearance referred to by Hannah Arendt.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.348-358
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• 2022

The purpose of this study is to produce visual content for effective education of Passive verbs and Causative verbs in Korean language education for foreigners. Passive verbs and causative verbs are contents that must be taught to intermediate level learners. However, it is recognized as a difficult item for both learners and Korean teachers because the realization pattern is complicated, and there is no rule to explain the combination relationship between the action and the instruction by suffix. In this article, the use of nonverbal information that can improve the learning effect was considered. Providing verbal and non-verbal information together in language education can be expected to improve learners' communication skills. In particular, visual content is non-verbal information that can positively affect memory enhancement, playback, and transition. Therefore, this study attempted to plan and produce picture cards as visual materials. The picture card, produced with a focus on the correct education of Korean Passive verbs, will efficiently and significantly make Korean Passive verbs and Causative verbs teaching and learning by suffixes.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.133-142
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• 2023

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.

• Current Research on Agriculture and Life Sciences
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• v.1
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• pp.239-253
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• 1983

This study attempted to introduce Fei-Ranis's agricultural development theory and discuss its problem for the rural development of less developed world. Fei-Ranis systematized the development process of Western European economy on the ground of dualism. They divided the process into 4 stages by the concept of 'mode of operation'. Paticularly, they consider agrarian mercantilism as take-off stage and its development were achieved by the increase of trade margin and labor productivity. Especially, they thought that only agricultural revolution through the diffusion of internal exchange economy and construction of tree-star system can accomplish favorable transition to industrial capitalism. In order to promote this agricultural development, less developed world must abolish short-run agricultural policy and propel 'learning by the contact' strategy through 'tree-star system' and 'parellel development.' In reality, it was problematic that the contemporary less developed world is trying, in the course of a few decades, to imitate Western European experience with development over the last four centuries. But Fei-Ranis ignored qualitative aspects of agricultural development by tree-star system and also it is criticized that they considered agricultural development process of less developed world follows only that of Western European classical process.

• Journal of the Korean Chemical Society
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• v.48 no.1
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• pp.66-76
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• 2004

This study is to compare and analyse the high school chemistry curriculum in Korea and Japan from the viewpoint of the structure, objectives, contents, teaching-learning method, and assessment plans. From the comparative analysis, we found some common and different aspects. The suggestive ideas which is useful for study of Korean science curriculum were deduced, such as more expansion of selective subjects and enhancing the guidance, more flexible teaching methods, enhancing the individualized instruction plans suitable to each student's condition, careful selection of educational contents and enhancing the base and foundation, and transition period.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1887-1898
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• 2018

In this paper, a method to classify insider threat activity is introduced. The internal threats help detecting anomalous activity in the procedure performed by the user in an organization. When an anomalous value deviating from the overall behavior is displayed, we consider it as an inside threat for classification as an inside intimidator. To solve the situation, Markov Chain Model is employed. The Markov Chain Model shows the next state value through an arbitrary variable affected by the previous event. Similarly, the current activity can also be predicted based on the previous activity for the insider threat activity. A method was studied where the change items for such state are defined by a transition probability, and classified as detection of anomaly of the inside threat through values for a probability variable. We use the properties of the Markov chains to list the behavior of the user over time and to classify which state they belong to. Sequential data sets were generated according to the influence of n occurrences of Markov attribute and classified by machine learning algorithm. In the experiment, only 15% of the Cert: insider threat dataset was applied, and the result was 97% accuracy except for NaiveBayes. As a result of our research, it was confirmed that the Markov Chain Model can classify insider threats and can be fully utilized for user behavior classification.

• Culinary science and hospitality research
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• v.20 no.5
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• pp.59-66
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• 2014

The purpose of this study is to analyze the level of career development competency recognized by the specialists who major in food service currently. To achieve the purpose of this study, the five two-year-courses technical colleges in Kyeonggi-do, Daejeon, Daegu Metropolitan City which include food service department were selected. And total 280 samples of enrolled students were extracted and the 256 students were treated statistically besides the 24 students who responded dishonestly. The analysis results are as follows. First, the male students showed partially higher career development competencies than female students. Second, the second grade students showed partially higher career development competency than the first grade students. Third, the specialists whose family income is over 5 million won showed the highest career development competency, and the students in 3-5 million won and less than 3 million won followed them in order. Fourth, there were differences in competencies of lifelong learning, networking, collecting and utilizing the job information, and self-understanding, and career transition, and the specialists with more qualifications showed higher competency than those who with less qualifications. Therefore, it is necessary to develop a various career education program to enhance career development competencies of food service specialist by individual characteristic.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.9
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• pp.1731-1733
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• 2015

Since electroencephalogram(EEG) has non-linear and non-stationary properties, it is effective to analyze the characteristic of EEG with time-frequency method rather than spectrum method. In this letter, we propose the modified drowsiness detection system using discrete wavelet transform combined with errors-in-variables and multilayer perceptron methods. For the comparison of the proposed scheme with the previous one, the state 'others' is added to the previous states of drivers: 'alertness,' 'transition,' and 'drowsiness.' From the computer simulation using machine learning, we confirm that the proposed scheme outperforms the previous one for some conditions.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1995.10a
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• pp.124-140
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• 1995

The merit of fuzzy rule based systems stems from their capability of encoding qualitative knowledge of experts into quantitative rules. Recent advancement in automatic tuning or self-organization of fuzzy rules from experimental data further enhances their power, allowing the integration of the top-down encoding of knowledge with the bottom-up learning of rules. In this paper, methods of self-organizing fuzzy rules and of performing defuzzification and inference is presented based on a multi-resolution radial basis function network. The network learns an arbitrary input-output mapping from sample distribution as the union of hyper-ellipsoidal clusters of various locations, sizes and shapes. The hyper-ellipsoidal clusters, representing fuzzy rules, are self-organized based of global competition in such a way as to ensute uniform mapping errors. The cooperative interpolation among the multiple clusters associated with a mapping allows the network to perform a bidirectional many-to-many mapping, representing a particular from of defuzzification. Finally, an inference engine is constructed for the network to search for an optimal chain of rules or situation transitions under the constraint of transition feasibilities imposed by the learned mapping. Applications of the proposed network to skill acquisition are shown.