• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8A
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• pp.846-851
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• 2008

With rapid development of communication industry, the kinds of communication service vary. According to the increasing use of radio waves, the intelligent and effective radio monitoring system needs to be developed, which is replaced for previous radio monitoring system. Next-generation intelligent radio monitoring system based on ITU-R, Rule of wireless facilities, and Radio Waves Act is used, and which can accurately and effectively function as effective radio monitoring system through spectrum analysis of channel power, frequency deviation, offset, and an occupied frequency bandwidth(99% or x-dB), about the analog and digital signal in On-Air of V/UHF bandwidth. Main function of the system has an radio quality measurement, unwanted electromagnetic signals (spurious, harmonic) measurement, high-speed spectrum measurement, frequency usage efficiency investigation, illegal radio exploration, working monitoring, In this paper, we proposes radio quality measurement, high-speed spectrum measurement of next-generation intelligent radio monitoring system.

• Journal of the Society of Disaster Information
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• v.5 no.1
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• pp.78-100
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• 2009

This study is to protect peoples' life, minimize the property damage by coping with threats quickly and take more preventive measures in advance against nuclear bomb, CBR, and potential explosive. For this, CBRNE(Chemical, Biological, Radiological, Nuclear, Explosive) program research was used. Thanks to advance in technology, terrorist groups and even individuals make or keep nuclear and CBR weapons. And also it's likely that disaster and threats from a toxic gas, acute pathogens, accidents in the nuclear power plants and a high explosive could be happened a lot. Recently more organized terrorist groups maintain random attacks for unspecified individuals and also it's highly likely that a large-scale terrorist attack by WMD and CBRNEwill be done. To take strict measures against CBRNE attacks by terrorists is on the rise as an urgent national task. Moreover biological weapons are relatively easy and inexpensive to obtain or produce and cause mass casualties with a small amount. For this reason, more than 25 countries have already possessed them. In the 21 st century, the international safety environment marks the age of complicated threats : transnational threats such as comprehensive security and terror, organized crime, drug smuggling, illegal trade of weapons of mass destruction, and environmental disruption along with traditional security threats. These cause military threats, terror threats, and CBRNE threats in our daily life to grow. Therefore it needs to come up with measures in such areas as research development, policy, training program. Major industrial nations on CBRNE like USA, Canada, Switzerland, and Israel have implemented various educational programs. These researches could be utilized as basic materials for drawing up plans for civil defense, emergency services and worldwide countermeasures against CBRNE.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.72-77
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• 2011

Spectrum sensing is a critical functionality of CR network; it allow secondary user to detect spectral holes and to opportunistically use under-utilized frequency bands without causing harmful interference to primary use. Recently, wideband service has been increase for processing abundance of data traffic. So CR network needs a realizable implementation design of spectrum sensing for wideband. To get high resolution performance of wideband sensing must precede algorithm processing for reliability signal detection. By the way, the performance of spectrum sensing can be degraded due to fading and shadowing. In order to overcome this problem, we propose system model of wideband sensing scheme on energy detected collaborative technique. we divide wideband into narrowbands and use narrowbands to detect signal excepting some narrowbands including bad channel through the CSI. And we simulate and analyze in terms of detection probability with various SNR.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.339-344
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• 2020

During COVID-19, education industry is organizing the concept of 'Edutech', which has evolved one step further from the existing e-Learning, by introducing various intelligent information technologues based on the core technology of the 4th industrial revolution and spreading it through diverse contents. Meanwhile, each industries are creating new industries by applying new technology to existing businesses and ask for needs of cultivating human resources who understand the existing traditional ICT technology and industrial business which can solve a newly rising problems. However, it is difficult to build contents for cultivating such human resources with the existing e-learning of transferring knowledge by one-way or some two-way commnication system which has established some interactive conversational system. Accordingly, this study conducted a research on a cooperative e-learning system that enables educators to communicate with learners in real time and allows problem-solving education based on the existing two-way communication system. As a result, frame for contents and prototype was developedp and artially applied to the actual class and conducted an efficiency analysis, which resulted in the validation of being applied to the actual class as a simulation-based cooperative content.

• Journal of Soil and Groundwater Environment
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• v.17 no.5
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• pp.56-67
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• 2012

In the present study, an enhanced subsurface prediction algorithm based on a non-parametric geostatistical model and a history matching technique through Gibbs sampler is developed and the iterative prediction improvement procedure is proposed. The developed model is applied to a simple two-dimensional synthetic case where domain is composed of three different hydrogeologic media with $500m{\times}40m$ scale. In the application, it is assumed that there are 4 independent pumping tests performed at different vertical interval and the history curves are acquired through numerical modeling. With two hypothetical borehole information and pumping test data, the proposed prediction model is applied iteratively and continuous improvements of the predictions with reduced uncertainties of the media distribution are observed. From the results and the qualitative/quantitative analysis, it is concluded that the proposed model is good for the subsurface prediction improvements where the history data is available as a supportive information. Once the proposed model be a matured technique, it is believed that the model can be applied to many groundwater, geothermal, gas and oil problems with conventional fluid flow simulators. However, the overall development is still in its preliminary step and further considerations needs to be incorporated to be a viable and practical prediction technique including multi-dimensional verifications, global optimization, etc. which have not been resolved in the present study.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.265-288
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• 2015

This study analyzed the contracts for library remuneration, amount of the remuneration, average amount of the remuneration in relation to kinds of libraries, distribution of the remuneration, and types and publication year of the works to be collected remuneration based on the data during 2004~2014 from the KORRA. As results, current library remuneration system has limitations for libraries to digitize and transmit to the public their collections, Also, there are some limitations to the protection for copyright holders because the amount of the remuneration collected from libraries has declined and non distribution remuneration has been so high. This study suggested that the library remuneration system needs to be revised considering the scope of library materials to be digitized and predicted frequency of use. Also, the better practical solution to protect copyright holders is not a raise of the library remuneration but the efficient use of the non distribution remuneration.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.2
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• pp.35-46
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• 2008

This research developed a strategy for mobile banking services based on the important factors deduced from quality assessment of mobile banking service that is experiencing rapid growth of user. SERVQUAL model and importance-performance tool were used. First, SERVQUAL model uses the important factors of mobile banking service selected from literature reviews. As a result, four dimensions that affect user satisfaction are found; assurance, customer orientation, tangibility, and reliability. Second, importance-performance analysis is to develop the strategy using the four factors. The final results revealed that assurance dimension had the strongest influence on user satisfaction. Assurance dimension of high expectation and yet low real performance needs immediate improvement. Customer orientation dimension of low expectation and performance should be reconsidered definition of satisfaction. On the other hand, tangibility dimension of higher performance than expectation is simply to maintain current level. Reliability dimension of high expectation and performance is recommended consistent management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.303-310
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• 2010

Today, about 98% of the international trade which leads the global economy is conducted at seas. This situation shows that maritime security is a key component for the stable development not only for international economy but also for the international security. Further, it suggests that the international society have reached to the stage that needs to fundamentally evaluate issues of the international maritime security cooperation and make further development. However, the international cooperation might not be an easy task to achieve because each nation faces different maritime security issues and maritime security cooperations require massive manpower and budgets due to diverse types of threats. Therefore, this paper analyzes status and issues of maritime security cooperation in vicinity of Malacca Strait and Somalian seas as key SLOCs for international economy. Based on this analysis, this paper aims to contribute to improve stability for the international economy by suggesting directions for the further development.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.973-985
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• 2021

South Korea has been guaranteed the efficiency and the convenience of administrative work based on long-term experience and well-established ICT infrastructure. Vice versa, South Korea is always exposed to various scale cyber-attacks. It is an important element of national competitiveness to secure cybersecurity resilience and response in the public sector. For this, the well-trained cybersecurity professionals' retention and support for their capacity development through retraining are critical. As the Special Act on Balanced National Development, most public agencies moved to provincial areas, but the provincial areas are not ready for this, thus the workforce can't get enough retaining courses. We study to analyze whether there is a gap in cybersecurity educational opportunities or needs in the public sector depending on regions, institution type, and personal traits. This paper aims to suggest solutions for the cybersecurity education gap in the public sector based on the empirical analysis results.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.705-712
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• 2021

This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.