• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.713-721
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• 2021

As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

• Journal of Creative Information Culture
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• v.5 no.1
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• pp.25-34
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• 2019

SW education has been incorporated into the regular curriculum since the 2015 curriculum due to the social changes caused by the 4th industrial revolution. The most important thing in SW education is the improvement of Computational Thinking. The study on the underprivileged who have little opportunity for education was relatively inadequate. In this study, CT competency of 135 underprivileged students were measured who were suffering from educational underprivileged. The underprivileged students were recruited from 15 local children's centers in Namyangju city and recruited 210 general students from B elementary schools in Namyangju city by setting up a selection criterion. As a result of comparing the CT competence between the two groups, it was found that the CT competence of the underprivileged students was lower than that of the general students, and suggested several implications with this result.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.157-167
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• 2021

Despite the importance of information technology, research on information-oriented performance management and performance management methods are very insufficient. In this paper, the SSU-ITPM model, a company-wide informatization performance evaluation and management model that reflects the characteristics of the shipbuilding and marine industry with high cooperative and process complexity, was presented. This model consisted of informatization planning and project management, informatization field utilization evaluation, informatization utilization quality evaluation, informatization user satisfaction evaluation, and informatization effect achievement evaluation. In addition, through the application of Company D, the feasibility of practical application of the model was confirmed. This study is expected to provide a practical reference model for informatization performance management of ETO plant-based companies such as the shipbuilding and offshore sector.

• The Journal of Korean Association of Computer Education
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• v.8 no.3
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• pp.29-42
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• 2005

In this knowledge information society, it cannot be too much to accentuate the necessity and importance of computer education. However, the current computer education in elementary school only focuses on computer application and utilization. It is not satisfactory to the needs of knowledge information society to improve mechanic office operation and/or to provide simple utilization of educational software through learning the application software functions. Therefore, based on creative and logical thought, it is necessary at this era to prepare computer education as the essence of science to create new values and to embody knowledge by understanding social and cultural environment of knowledge information society that is continuously in change and development. Accordingly, this study presents the necessity of change based on problems of computer education, and investigates field teacher's opinion on the direction of change in elementary computer curriculum in this knowledge information society. Also, this study presents a computer education curriculum for elementary school students by focusing on a comparison between our current elementary computer curriculum and that of North Carolina and of California in the United States.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.493-497
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• 2016

Walking mechanism, there are many types. Prior to the modeling and design, we thought about a variety of mechanisms based on the Janssen mechanism to design a walking mechanism optimized for walking. The more the legs increases the stability of the structure, while the weight is heavy and if that advantage had the disadvantage, the legs are easier to walk in the utilization and structural aspects of the torque had fewer advantages. The disadvantage is that the instability mechanism, four-legged, but improve it and look forward to the idea of utilization and cost-effectiveness, its future utilization will be endless. To study this, we utilized a variety of software, such as m-sketch, Edison design program, we have seen the actual production through scientific experiments box.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.179-179
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• 2023

This study suggests a new approach of water level forecasting for extended lead times using original data preprocessing with variational mode decomposition (VMD). Here, two machine learning algorithms including light gradient boosting machine (LGBM) and random forest (RF) were considered to incorporate extended lead times (i.e., 5, 10, 15, 20, 25, 30, 40, and 50 days) forecasting of water levels. At first, the original data at two water level stations (i.e., SW173 and SW269 in Bangladesh) and their decomposed data from VMD were prepared on antecedent lag times to analyze in the datasets of different lead times. Mean absolute error (MAE), root mean squared error (RMSE), and mean squared error (MSE) were used to evaluate the performance of the machine learning models in water level forecasting. As results, it represents that the errors were minimized when the decomposed datasets were considered to predict water levels, rather than the use of original data standalone. It was also noted that LGBM produced lower MAE, RMSE, and MSE values than RF, indicating better performance. For instance, at the SW173 station, LGBM outperformed RF in both decomposed and original data with MAE values of 0.511 and 1.566, compared to RF's MAE values of 0.719 and 1.644, respectively, in a 30-day lead time. The models' performance decreased with increasing lead time, as per the study findings. In summary, preprocessing original data and utilizing machine learning models with decomposed techniques have shown promising results for water level forecasting in higher lead times. It is expected that the approach of this study can assist water management authorities in taking precautionary measures based on forecasted water levels, which is crucial for sustainable water resource utilization.

• The Journal of Industrial Distribution & Business
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• v.12 no.8
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• pp.21-32
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• 2021

Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.11
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• pp.251-262
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• 2019

In this paper, we propose a simulator that provides various algorithms of RBF networks on neuromorphic chips. To develop algorithms based on neuromorphic chips, the disadvantages of using simulators are that it is difficult to test various types of algorithms, although time is fast. This proposed simulator can simulate four times more types of network architecture than existing simulators, and it provides an additional a two-layer structure algorithm in particular, unlike RBF networks provided by existing simulators. This two-layer architecture algorithm is configured to be utilized for multiple input data and compared to the existing RBF for performance analysis and validation of utilization. The analysis showed that the two-layer structure algorithm was more accurate than the existing RBF networks.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.8
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• pp.337-347
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• 2007

An embedded system is called a multi-mode embedded system if it performs multiple applications by dynamically reconfiguring the system functionality. Further, the embedded system is called a multi-mode multi-task embedded system if it additionally supports multiple tasks to be executed in a mode. In this Paper, we address a HW/SW partitioning problem, that is, HW/SW partitioning of multi-mode multi-task embedded applications with timing constraints of tasks. The objective of the optimization problem is to find a minimal total system cost of allocation/mapping of processing resources to functional modules in tasks together with a schedule that satisfies the timing constraints. The key success of solving the problem is closely related to the degree of the amount of utilization of the potential parallelism among the executions of modules. However, due to an inherently excessively large search space of the parallelism, and to make the task of schedulabilty analysis easy, the prior HW/SW partitioning methods have not been able to fully exploit the potential parallel execution of modules. To overcome the limitation, we propose a set of comprehensive HW/SW partitioning techniques which solve the three subproblems of the partitioning problem simultaneously: (1) allocation of processing resources, (2) mapping the processing resources to the modules in tasks, and (3) determining an execution schedule of modules. Specifically, based on a precise measurement on the parallel execution and schedulability of modules, we develop a stepwise refinement partitioning technique for single-mode multi-task applications. The proposed techniques is then extended to solve the HW/SW partitioning problem of multi-mode multi-task applications. From experiments with a set of real-life applications, it is shown that the proposed techniques are able to reduce the implementation cost by 19.0% and 17.0% for single- and multi-mode multi-task applications over that by the conventional method, respectively.

• Korean Journal of Microbiology
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• v.27 no.3
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• pp.181-187
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• 1989

Plasmid DNA was isolated from Lactobacillus casei SW-M1($Lac^{+}$strain). The curing frequencies of pPLac plasmid from L. casei SW-M1 showed 43% for acriflavin treatment and 53% for ethidium bromide treatment after 3 times transfer. On the charaterization of pPLac plasmid, it was found that the plasmid contained gene encoding phospho-$\beta$-galactosidase for lactose utilization. Lactose-PTS(phosphotransferase system)was involved in membrane transport system in $Lac^{+}$ strain. Induction of phospho-$\beta$-galactosidase was specially effective by galactose, lower effect with lactose and glucose but not by IPTG(isopropyl-$\beta$-D-thiogalactoside). This result showed that induction of phospho-$\beta$-galactosidase by IPTG did not appeared. The catabolite repression of phospho-$\beta$-galactosidase synthesis by glucose was not found in L. casei.