• Journal of Digital Convergence
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• v.19 no.7
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• pp.227-236
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• 2021

This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.671-676
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• 2015

The aim of this thesis was to develop PBL(Problem-Based-Learning) problems to supply the problems to classes and to confirm the effectiveness of PBL for PBL applications to element design in engineering schools. Modern industrial society needs competent people with abilities in cooperative learning, self-controlling learning, united knowledge application, and creative problem-solving. Universities need to offer opportunities for improving the problem-solving ability and cooperative learning to learners to train competent people that society demands. PBL activity is a proper learning method for the execution of the above offer. The study subjects were 32 sophomore students in H University who took 'Engineering design 1', which is Element design. Five PBL problems were applied to the class for 15 weeks. They wrote and submitted a reflective journal when they finished the every given PBL activity. In addition, they wrote a class evaluation form after the $5^{th}$ PBL problem's activity ended. The study showed that the students experienced the effectiveness of PBL in many fields, such as the comprehension of the studied contents(71.87%), the comprehension of cooperative learning (87.5%), authentic experience, problem-solving skills (90.63%), presentation skills (96.87%), communication ability, self-directed study ability, and confidence (96.87%). The students realized that PBL learning activities are important because students could develop into future intelligent engineers that modern industrial society demands through PBL learning activities.

• The Journal of Korean Association of Computer Education
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• v.11 no.5
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• pp.1-8
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• 2008

Computers are played an important tole of knowledge-information society in 21C. Computer education have made successful progresses since the 7th curricula have one class of ICT per week. However, public schools have instructed computer literacy education teaching only how to use application software. To give useful knowledges students could use for several decades, we need to have them to concentrate on education to information logical thinking power rather than simple manipulation of application softwares. However, teachers don't understand well about the "Understanding of Information Processing". In this paper, we carried out a survey that how much teachers understand about the information processing comprehension among the information and communication technology guide. We also state problems and propose improvement plan.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.178-202
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• 2012

In this paper, we first survey cross-layer architectures for Wireless Sensor Networks (WSNs) and Wireless Multimedia Sensor Networks (WMSNs). Afterwards, we propose a novel cross-layer architecture for QoS provisioning in clustered and multi-hop based WMSNs. The proposed architecture provides support for multiple network-based applications on a single sensor node. For supporting multiple applications on a single node, an area in memory is reserved where each application can store its network protocols settings. Furthermore, the proposed cross-layer architecture supports heterogeneous flows by classifying WMSN traffic into six traffic classes. The architecture incorporates a service differentiation module for QoS provisioning in WMSNs. The service differentiation module defines the forwarding behavior corresponding to each traffic class. The forwarding behavior is primarily determined by the priority of the traffic class, moreover the service differentiation module allocates bandwidth to each traffic class with goals to maximize network utilization and avoid starvation of low priority flows. The proposal incorporates the congestion detection and control algorithm. Upon detection of congestion, the congested node makes an estimate of the data rate that should be used by the node itself and its one-hop away upstream nodes. While estimating the data rate, the congested node considers the characteristics of different traffic classes along with their total bandwidth usage. The architecture uses a shared database to enable cross-layer interactions. Application's network protocol settings and the interaction with the shared database is done through a cross-layer optimization middleware.

• Korean Journal of Construction Engineering and Management
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• v.3 no.2 s.10
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• pp.99-106
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• 2002

It was few to the integrated information classification system In domestic construction. Furthermore, it became considerable obstacles to hamper the increase of national competitiveness as well the hoarding of information and overlapped investment. The standardization of information classification is also necessary prior to the Computer-Integrated Construction, CALS(Continuous Acquisition & Life-cycle Support/Electronic Commerce) in construction, EVMS(Earned Value Management System) and the various projects which manipulate construction information. Therefore, this report suggests the development direction and application proposal of Integrated Construction Information Classification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.632-657
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• 2022

Detecting web attacks is a major challenge, and it is observed that the use of simple models leads to low sensitivity or high false positive problems. In this study, we aim to develop a robust two-stage deep learning based stacked ensemble web application firewall. Normal and abnormal classification is carried out in the first stage of the proposed WAF model. The classification process of the types of abnormal traffics is postponed to the second stage and carried out using an integrated stacked ensemble model. By this way, clients' requests can be served without time delay, and attack types can be detected with high sensitivity. In addition to the high accuracy of the proposed model, by using the statistical similarity and diversity analyses in the study, high generalization for the ensemble model is achieved. Within the study, a comprehensive, up-to-date, and robust multi-class web anomaly dataset named GAZI-HTTP is created in accordance with the real-world situations. The performance of the proposed WAF model is compared to state-of-the-art deep learning models and previous studies using the benchmark dataset. The proposed two-stage model achieved multi-class detection rates of 97.43% and 94.77% for GAZI-HTTP and ECML-PKDD, respectively.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.53-67
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• 2008

At present, for reuse of similar domains between feature model and class model. researches of transformation at the model level and of transformation using ontology between two models are being made. but consistent transformation through metamodel is not made. And the factors of modeling transformation targets are not sufficient, and especially, automatic transformation algorithm and supporting tools are not provided so reuse of domains between models is not activated. This paper proposes a method of transformation from feature model to class model using ontology on the metamodel. For this, it re-establishes the metamodel of feature model, class model, and ontology, and it defines the properties of modelling factors for each metamodel. Based on the properties, it defines the profiles of transformation rules between feature mndel and ontology, and between ontology and class model, using set theory and propositional calculus. For automation of the transformation, it creates transformation algorithm and supporting tools. Using the proposed transformation rules and tools, real application is made through Electronic Approval System. Through this, it is possible to transform from the existing constructed feature model to the class model and to use it again for a different development method. Especially, it is Possible to remove ambiguity of semantic transformation using ontology, and automation of transformation maintains consistence between models.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.15-20
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• 2018

Currently the mobile augmented reality does not require supplemental hardware, such as markers like specific images or depth cameras, in order to acquire 3D environment information. This allows for increased accessibility and usability for the general user, and also broadened scope of development. The market research enterprise Counterpoint Research predicted that the growth of the augmented reality market will reach 70 trillion Korean Won by 2021. Application developments are also progressing. Wargaming, the developer of the global game World of Tanks, has launched an application that uses AR core at the GDC 2018. Thus, we must prepare for the impending augmented reality market and acquire top class augmented reality technology using 3D environment. This paper outlines the development of a game using AR CORE SDK to acquire 3D environment and Unity 3D game engine to combine camera images and 3D graphics, which all comes together to construct a natural augmented reality.

• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.141-152
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• 2013

The current web implementation largely falls into process-oriented and object-oriented methods. Both ways implement the programs to be used for simple design of external outfit and auxiliary function of hybrid webs and it might lead to cost problems arising from waste of time and man-power to develop with it. Therefore, managed structural system programming which can be applied under .NET framework is suggested in a bid to solve these problems. The structural system design method under .NET environment by applying CS concept prefers to adopting the optimized design configuration suited to proper interfaces of UI configuration, which offers the environment to maintain the inheritance relationship by taking form of the balanced class allotment by domain, and continue to keep the connectivity between UX and UI which leads to application of interface of UX objects as form of objects through connection with objects in class design process. This development method enables programs to be implemented focused on representation methods of UI and UX, and helps relieve much of the burden on development costs.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.19-29
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• 2012

According to the result of PISA and TIMSS, it was reported that interest for Math and Science was far lower compared to high achievement of Them. The purpose of this study is to investigate effects of robot based STEAM education on elementary school students' Math learning behavior and Science motivation. Robot based STEAM education integrated science, mathematics and art with a theme of 'Energy' was practiced for test group and For control group, those three subjects were taught separately in order to achieve this purpose. Curriculum of fourth grade second semester's science, mathematics and art was analysed to teach a robot based STEAM class and STEAM class Model with the theme 'Energy was designed and applied to elementary students. In science class, heat transfer experiment was conducted with robots and the result was related to drawing polygonal lines in mathematics. In art class, robot components were used to describe the heat energy in shapes and colors. The research shows that students' Math learning behavior and Science motivation were improved more with robot based STEAM education than with traditional lessons(p<.05). It proves that robot based STEAM class can be effective for improving interest in elementary Math and Science.