• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.321-324
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• 2015

In this study, depending on the sense of increasing interest in the world-SW education, in the country high and high school was supposed to be implemented from junior high school from 2018 fiscal SW education as a compulsory subject. As a result, even in education, for SW education of students, but some of the teaching and learning methods have been presented, Professor utilizing education programming language which - there is a learning method. Education programming language, depending on the subject and level, but the current of more than 40 educational programming language being used, in this paper, the current, compares the programming language of education that are used in the country of education, analysis using how to use what education of the programming language in the middle, and high school, to try to present how the draft you can.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.29-35
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• 2023

In this paper, we propose a SW-EDU bot, a chatbot learning model for coding education by using a chatbot system. The same scenario-based models are created on the basis of Dialogflow and Kakao i Open Builder, which are representative chatbot builders. And then a SW-EDU bot is designed and implemented by selecting the builder more appropriate to our purpose. The implemented chatbot system aims to learn effective learning methods while encouraging self-direction of users by providing learning type selection, concept learning, and problem solving by difficulty level. In order to compare the usability of chatbot builders, five indicators are selected, and based on these, a builder with a comparative advantage is selected, and SW-EDU bot is implemented based on these. Through usability evaluation, we analyze the feasibility of SW-EDU bot as a learning support tool and confirm the possibility of using it as a new coding education learning tool.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.27 no.2
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• pp.43-51
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• 2009

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.8
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• pp.136-144
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• 2016

In general, it is this variety of learning methods and teaching tools for embedded software development and deployment training. In this paper, I want to take advantage of the smart robot to learn creative problem-solving methods that are required in embedded software engineering education. It analyzes the effect of creative engineering education with the smart robot and presents for RSPM Engineering Embedded SW teaching methods to improve NCS education. Embedded SW engineering education in a more creative and smart robot, EV3 system was utilized to improve SW programming skills. In this paper, we utilize the EV3 system to the parish through the creative RSPM engineering courses through the survey and analysis of the impact level, interests and program skills and influence in embedded SW engineering education propose for successful embedded software programming skills potential.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.13-18
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• 2008

소프트웨어 시스템 개발에 있어 요구사항 분석 단계는 개발 프로세스의 최 상위 단계로 프로젝트의 성공과 실패를 결정하는 중요한 단계이다. 특히, 반복 점증적 개발 프로세스를 적용하는 경우에 있어 고객 요구사항을 우선순위화하여 제한된 일정과 자원을 활용하여 제품을 개발하는 방법론이 필요하다. 기존 방법과 달리 본 논문에서는 SW QFD를 활용하여 고객관점 우선순위에 개발 관점을 추가하고 하위 수준 (Low Level) 요구사항까지 우선순위화 하는 Enhanced SW QFD 방법론을 제안한다. 고 품질의 소프트웨어 제품 개발을 위해 고객 요구사항을 명확하게 이해하고 고객과 개발자 양방향 관점 우선순위 프로세스를 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.209-219
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• 2014

With rapid convergence of information technology and expending role of software, many organizations have taken interested in We explore the relationship between the level of change awareness and deployment of software process improvement (SPI) approaches using a competing values framework. To measure awareness level of organization's change, DICE framework which provides means for predicting the outcome of change management initiatives is used. The four factors for organizaton's change: duration, integrity, commitment, and effort are evaluated and a score is calculated. In this paper, we apply the DICE(R) score as an independent variable to predict the outcome of a software process improvement. Our results indicated that the Organization have a higher chance of success have the better outcome in software process improvement.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.11-17
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• 2021

In this study, problems of software completeness appraisal are pointed out and their solutions are presented by analyzing appraisal cases and judicial precedents. Completeness appraisal, ready-made appraisal, defect appraisal, and cost appraisal have been classified as and have been evaluated with extant software completeness appraisals. From a legal point of view, and in judicial precedents, however, there is a big difference between the definition of completeness and the completion rate. This is because the degree of completeness is evaluated under the premise that the software's development is complete, whereas the ready-made appraisal inspects the development progress of unfinished software. Often, in cases involving software completion rate, the total completion level is calculated by weighting each step of the software development process. However, completeness evaluations use the software's realization-operation as its sole criterion. In addition, another issue not addressed in existing software completeness appraisal cases is that there is no mention of who is responsible for software defects, whereas in case law, the responsible party is determined by finding who caused the dispute. In this paper, we systematically classify these problems, and present a novel evaluation method that separates software completeness evaluations from software completion evaluations.

• Journal of the Korea Society of Computer and Information
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• v.18 no.2
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• pp.127-140
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• 2013

We explored the relationship between the level of change awareness and deployment of software process improvement (SPI) approaches using a competing values framework. To measure awareness level of organization's change, we used DICE framework provides means for predicting the outcome of change management initiatives. The four factors for organizaton's change: duration, integrity, commitment, and effort are evaluated and a score is calculated. The DICE(R) score is used to classify projects into win, worry, or woe zones. In this paper, we apply the DICE(R) score as an independent variable to predict the outcome of a software process improvement. Our results indicated that the Organization have a higher chance of success have the better outcome in software process improvement.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.419-420
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• 2000

This paper describes the innovation of VLSI design methodology in the coming decade. Technology trend of VLSI fabrication is surveyed first. Then the so-called “design crisis” is analyzed. Finally, possible design methodology to overcome the design crisis is discussed.