• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.685-688
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• 2008

A Next Generation Network (NGN) is a packet-based network able to provide services including Telecommunication Services and able to make use of multiple broadband, QoS-enabled transport technologies and in which service-related functions are independent from underlying transport-related technologies. It offers unrestricted access by users to different service providers. It supports generalized mobility which will allow consistent and ubiquitous provision of services to users in this paper. we describe the trend of standardization activity related with open services environment capabilities which had been finally approved at September 2008 in ITU-T. ITU-T SG13 is responsible for studies relating to the architecture, evolution and convergence of next generation networks including frameworks and functional architectures, signalling requirements for NGN.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.38-45
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• 2012

Building a game has been used as effective and attractive way of teaching computer science. Building a usable Multi-player Game is requires important aspects of technology, teamwork and software engineering principles. The whole class was structured in to several teams and students needed to join one or two teams. Each team presented their progress, discussed future milestones and troubleshoots, updated documents for clearer communication and utilized SVN(Subversion) throughout the semester. Unlike usual class setting, all students worked collaboratively together like one company to achieve the goal. In one semester, students started from concept design and completed a working Multiplayer Online Game called "deBugger" (Fall 2009), and "World of Balance" (Fall 2011), while learning game design, 3D graphics, Game Engine, Server-client architecture, Game Protocol, network programming, database, Software Engineering principles, and large application development as a team project.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.5
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• pp.107-115
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• 2006

The existing DLC system functionally has two defects. One is it has to be controlled by operators whenever customer's portion of loads are increased more than predefined objected load. Therefore, it may be possible for propagating uncontrolled loads if operators make a mistake. The other one is that currently used DLC algorithm is usually focused on ON/OFF load control not concerning about reliving participated customer's inconvenience. Therefore, that is a major obstacle to attract customer participating in demand response program. This paper represents direct load control system using active database. By using active database, DLC system can control customer's load effectively without intervening of operator. And by using dynamic programming based on the order of priority for DLC algorithm, it is possible to maximize participating customer's satisfaction.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.73-84
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• 2019

Machine learning as a service, the so-called MLaaS, has recently attracted much attention in almost all industries and research groups. The main reason for this is that you do not need network servers, storage, or even data scientists, except for the data itself, to build a productive service model. However, machine learning is often very difficult for most developers, especially in traditional science due to the lack of well-structured big data for scientific data. For experiment or application researchers, the results of an experiment are rarely shared with other researchers, so creating big data in specific research areas is also a big challenge. In this paper, we introduce the KISTI-ML platform, a community-based rapid AI model development for scientific data. It is a place where machine learning beginners use their own data to automatically generate code by providing a user-friendly online development environment. Users can share datasets and their Jupyter interactive notebooks among authorized community members, including know-how such as data preprocessing to extract features, hidden network design, and other engineering techniques.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.2
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• pp.23-30
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• 2014

Some application of the sensor networks such as crop management must control the temperature within a proper range. The energy-efficient applications and protocols for them are needed. In this paper, we propose an energy efficient application protocol which can meet these needs. We use the concept of safety zone to manage the appropriate range of properties within our algorithm. We name our proposed algorithm "MSZ". To assess the performance of the proposed algorithm the actual temperature data was collected using the sensor node. The algorithm was implemented through programming and compared with the other algorithms. Experimental results show that the MSZ algorithm has a much better performance than that of APTEEN in terms of energy efficiency as well as has the ability of determining the status of sensor nodes with the periodical transmitting. Our MSZ algorithm can be useful in applications developments for the management of crops, fermented food and etc.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.483-488
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• 2001

Knowledge Management System(KMS) is being built or built in many construction companies for their Competitive Power over expecting that KM leads to Managemental effective outcome and brings out profit. But the real aspects contrary to those Expectations and the outcome through KM dose not match the anticipant value. It is why most of them do not have a tendency to consider of besides of Computer system which are organization culture or cognition of members and think important of Computer System except others and the study on KM has not been enough. As those reason, there are little great managemental or administration growth through KM. On these problems this study has been started, and Organization Culture for KM's practical efficiency was treated and studied in the paper how to solve the problems and make KM effective.

• The KIPS Transactions:PartA
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• v.16A no.4
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• pp.245-254
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• 2009

With the increasing adoption of embedded processors, the need of developing compilers for the embedded processors with timely manner is also growing. Retargeting has been adopted as a viable approach to constructing new compilers by modifying the back-end of an existing compiler. This paper proposes a test suite generation system for testing retargetable C compilers. The proposed system generates the test suite using the grammar coverage concept. Generally, the size of the test suite satisfying the grammar coverage of the source language is very large. Hence, the proposed system also provides the facility to reduce the size of the test suite. According to the experimental result, the reduced test suite can detect 75% of the compiler faults detected by the original test suite though the size of the reduced test suite is only 10% of that of the original test suite in average. This result indicates that the reduction technique proposed in this paper can be effectively used in the prior phase of the development procedure of the embedded compilers.

• Journal of The Korean Association of Information Education
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• v.14 no.1
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• pp.69-77
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• 2010

As the knowledge and information society has emerged, paradigm of school education has moved to improvement of creativity and problem-solving skills of a learner. However, up to the present, ICT education in schools has shown distorted features, which are focusing on the use of application programs, out of its original purpose. This study also allows digital technology to be displayed in analog ways by applying the paper prototyping technique, which can be substituted for the programming phase that elementary school students feel difficulty to handle with. In addition, It enables practical and useful ideas to be designed, constructed and evaluated as a system, based on User Centered Design (UCD), which encourages users actively to participate in the development, rather than focus on developer. To verify the effects of education, we evaluated and analyzed concept models of a learner before and after the application development activity by applying the mental model theory. The framework suggested in this study can be applied to courseware of programming in elementary schools.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.53-60
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• 2018

In this study we have developed a Python education program that can be applied to students who have studied block-based coding. We have developed a Python education program based on the extracted the learners' level of block-based coding by analyzing the programs and the textbooks. We extracted the grammar of the block-based coding and constructed the curriculum. Then, the Python education program was composed by 16 hours. After reviewing the appropriateness of the education program through expert validation, it was concluded that the developed Python education program is suitable for applying to learners of block-based coding. We expect that proposed program will be effectively applied as basic resources to learn script coding in class.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.629-637
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• 2019

Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.