• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.107-117
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• 1996

This paper proposes a conceptual model for distributed problem solving(DPS), where cooperation and communication among agents are based on virtual shared memory (VSM) In this model, all agents in a DPS system view all the memory in a distributed computer system as a single shared memory in which data, tasks, and results can in a distributed computer system as a single shared memory, in which data, tasks, and results can / be accessed by any of the agents. Several agents cooperatively solve a complex problem, as agents write data, intermediate results of execution, and tasks requested to other agents to VSM and other agents read or execute them. Also, in order to develop DPS systems based on the proposed conceptual model, this paper designs a DPS system development environment(DPS-VSM)using Network Linda. Thi spaper shows utility ofthe proposed model by presenting an example of simulation a VSM-based DPS system, and analyzes the model by comparing the features of DPS- VSM with some other DAI programming shells.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.373-378
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• 2006

Recently the technical advances and complexities have generated much of the difficulties in managing the project resources, for both scheduling and costing to accomplish the project in the most efficient manner. The project manager is frequently required to render judgments concerning the schedule and resource adjustments. This research develops an analytical model for a schedule-cost and risk analysis based on visual PERT/CPM. We used a three-step approach: 1) in the first step, a deterministic PERT/CPM model for the critical path and estimating the project time schedule and related resource planning and we developed a heuristic model for crash and stretch out analysis based upon a time-cost trade-off associated with the crash and stretch out of the project. 2) In second step, we developed web-based risk evaluation model for project analysis. Major technologies used for this step are AHP (analytic hierarchy process, fuzzy-AHP, multi-attribute analysis, stochastic network simulation, and web based decision support system. Also we have developed computer programs and have shown the results of sample runs for an R&D project risk analysis. 3) We developed an optimization model for project resource allocation. We used AHP weighted values and optimization methods. Computer implementation for this model is provided based on GUI-Type objective-oriented programming for the users and provided displays of all the inputs and outputs in the form of GUI-Type. The results of this research will provide the project managers with efficient management tools.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.31-38
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• 2024

This study proposes hyper-parameter settings for developing a generative AI-based learning support tool to facilitate programming education in online distance learning. We implemented an experimental tool that can set research hyper-parameters according to three different learning contexts, and evaluated the quality of responses from the generative AI using the tool. The experiment with the default hyper-parameter settings of the generative AI was used as the control group, and the experiment with the research hyper-parameters was used as the experimental group. The experiment results showed no significant difference between the two groups in the "Learning Support" context. However, in other two contexts ("Code Generation" and "Comment Generation"), it showed the average evaluation scores of the experimental group were found to be 11.6% points and 23% points higher than those of the control group respectively. Lastly, this study also observed that when the expected influence of response on learning motivation was presented in the 'system content', responses containing emotional support considering learning emotions were generated.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.1-13
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• 2020

With the advent of an intelligent information society, research toward artificial intelligence education was conducted. In previous studies, the subject of research is biased, and studies that analyze attitudes toward artificial intelligence are insufficient. So, in this study developed a test tool to measure the artificial intelligence of high school students and analyze their attitudes toward artificial intelligence. To develop the test tool, 229 high school students completed a preliminary test, of which the results were analyzed via exploratory factor analysis. To analyze the students' attitudes toward artificial intelligence, the resulting test tool was applied to 481 high school students, and their test results were analyzed according to factors. From the study's results, there was no difference according to gender in the students' attitudes toward artificial intelligence, but there was a significant difference per grade. In addition, there was a significant difference in attitudes according to artificial intelligence-related experiences: the high school students who had direct and indirect experience with artificial intelligence, programming, and more frequently used it had more positive attitudes toward artificial intelligence than students without this experience. However, artificial intelligence education experience negatively influenced the students' attitudes toward artificial intelligence. Overall, the higher their interest in artificial intelligence, the more positive the high school students' attitudes toward artificial intelligence.

• Cartoon and Animation Studies
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• s.29
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• pp.151-172
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• 2012

Game production education in a university is very important because it is the stage for completing a game education course as well as for determining a future of game industry. In order to perform various experience and creative learning, it should be able to effectively use a computer infrastructure representing the knowledge and information society for the purpose of obtaining and re-processing information necessary for game production through prediction of directions of game industry as well information technology. This research is focused on an effective game engine education for students whom want to become game graphics designers. The purpose of this study is to draw a lesson of game production utilizing game engines and it enables practice-focused class for game production. It also allows the class participant to manufacture prototypes without support from game programmers for their outcomes of works planned during the game production class. The theoretical background of game production compared and analyzed exemplary game engines. Based on the result, the study selected Unity 3D engine and conducted the research on the background where the Unity engine has been selected and its characteristics. In addition, this study provided an example of game production utilizing a game engine, and also described the details of actual realization. This study selected Torque3D with the Unity in order to identify the purpose of this study and efficiency of learning. Thus, the previous situation is that the class remained in making a game plan during the course of game production project and, students whose major is not game programming. Now, it is necessary for students to make many efforts to make a game in an active and positive attitude by utilizing a game engine beyond the previous method of class.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.57-64
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• 2008

This paper presents a web-based virtual educational system for Java language, which consists of a management system named Java Web Player (JWP) and creative multimedia contents for the lectures of Java language. The JWP is a Java application program free from security problems by the Java Web Start technologies that supports an integrated learning environment including three important learning procedures: Java concept learning process, programming practice process and assessment process. On-line voice presentation and its related texts together with moving images are synchronized for efficiently conveying creative contents to learners. Furthermore, a simple and useful compiler is included in the JWP for providing user-friendly language practice environment enabling such as coding, editing, executing, and debugging Java source files on the Web. Finally, simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. In order to show the validity of the proposed virtual educational system we analysed and assessed the learners' academic performance on the five quizzes for one semester.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.587-592
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• 2019

The importance of software technologies is becoming more prominent because of the competition to secure a competitive edge in software, which has been intensified since the emergence of smartphones and IoT. Thus, to assure the initiative in the global software industry and to foster superior human resources, there is a growing need for outstanding software development professionals. This paper analyzes the factors that affect the basic perception of software, the need for software development, and the enhancement of software coding ability based on a compulsory software class, which aims to increase the workforce of the converged software industry. The analysis shows that among other technical practices to enhance coding ability, learner-centered technical contents showed the most positive effect regarding the recognition and motive of development and are an essential factor in improving coding skills. The findings indicate that the need for program development and active involvement in the development of the program are the most important factors in improving the practical ability. The analysis presents meaningful results by suggesting a methodology for improving software development capabilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.374-380
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• 2021

Band Wittgenstein is a relatively band-shaped team since Shin Hae-Chul's previous big band "Next." The album, which features Shin Hae-Chul's unique lyrics and specific concepts, is also similar to the Next albums. However, there is a difference in sounds used on the album that are properly fused sampling based work and computer music. This album is a low-budget home recording album produced at a total cost of 3 million won. Shin Hae-Chul was in charge of the main vocals and programming, and all of the works were done together by the band members. In this album, Shin Hae-Chul focused on teamwork rather than producing his own music. The low budget could have been a constraint on music production, but it must be highly appreciated for it being a novel attempt. Musicians who create music always create conflicts between their favorite music and popular ones. However, without creative efforts, there is no evolution or development in the music industry. It is clear that constant changes can continue to develop musical ability, which leads to the development of Korean pop music.

• 대한공업교육학회지
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• v.35 no.2
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• pp.182-203
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• 2010

The purpose of this study was to analyze of Information-related subjects on industry department of college scholastic ability test in Korea and Japan. These were compared with information-related foundation and data-technology foundation, programming on industry department test of vocational education area in college scholastic ability test in Korea and Japan and suggest implications of items development of college scholastic ability test in Korea. Based on the results of study, the following recommendations were made for new direction of items development of college scholastic ability test in Korea. First, Information-related foundation on industry department of National Center for University Entrance Examinations in Japan consisted of basic informations of agricultural, industry, commercial department etc. of vocational education area. Similarly it is necessary to introduce 'computer-related foundation' consist of common contents of several departments of college scholastic ability test in Korea. Second, it is necessary to diverse sub-item situations different from main item situations and introduce diverse situations of set type items of college scholastic ability test in Korea. Third, test for National Center for University Entrance Examinations in Japan consisted of several types items like this selecting answers on multi-answer group. it is necessary to introduce short answer type, completion type and supply type of college scholastic ability test in Korea.