• The Korean Publising Journal, Monthly
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• s.96
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• pp.23-23
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• 1991

텔레비전이나 라디오를 통해 익숙해진 대중문화 스타들이 '저자'의 대열에 속속 진입하고 있다. 에세이는 물론 소설이나 시에까지 영역을 넓히고 있는 이들의 활동은 대중문화를 '문화'라는 커다란 테두리 안에서 다시 검토하고 새롭게 자리매김하려는 이즈음의 대중문화 논의와도 맞물리면서 크게 주목된다.

• 대한예방의학회:학술대회논문집
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• 2000.10a
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• pp.328-329
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• 2000

• Review of Korean Society for Internet Information
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• v.13 no.1
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• pp.56-61
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• 2012

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.1A
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• pp.73-81
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• 2011

IEEE 802.11 PHY and MAC layer provide multiple channels and data rates. To improve the performance of IEEE 802.11 multi-radio ad hoc networks, it is required to utilize available channels and data rates efficiently. However, in IEEE 802.11 multi-rate networks, the rate anomaly (RA) problem occurs that the network performance is severely degraded as low-rate links affect high-rate links. Hence, in this paper, we propose a model-based rate separation (MRS) algorithm that uses multiple channels to separate different data rate links so that the RA problem is mitigated. MRS algorithm utilizes an existing throughput model that estimates the throughput of IEEE 802.11 single-hop networks to separate low-rate links and high-rate links. Through simulations, we demonstrate that the MRS algorithm shows improved network performance compared with existing algorithms in multi-radio ad hoc networks.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1255-1261
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• 2016

Recently, the energy harvesting technology in which energy is collected from the wireless signal which is transmitted by mobile communication devices, has been considered as a novel way to improve the life time of wireless sensors by mitigating the lack of power supply problem. In this paper, we consider the optimal sensing time and power allocation problem for cognitive radio systems, where the energy efficiency of secondary user is maximized while the constraint are satisfied, using the optimization technique. Based on the derived optimal solutions, we also have proposed an iterative resource allocation algorithm in which the optimal power and sensing time allocation can be found without excessive computations. The simulation results confirm that the proposed scheme achieves the optimal performance and it outperforms the conventional resource allocation schemes in terms of energy efficiency while the constraints are guaranteed to be satisfied.

• Archives of design research
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• v.18 no.4 s.62
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• pp.205-214
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• 2005

The purpose of this study is to find an efficient marketing strategy in terms of media channel communications using one specific case study. Results of previous studies have shown that consumers' exposure to TV, newspaper, radio and magazine related to description of corporate image tends to be influential for consumers' product image, which mainly consists of product preference, expertise, and credibility. It means that media strategy should be different, depending on what kinds of image they try to be purposive. In conclusion, we concluded that TV and radio should be the best vehicle for increasing consumers' positive preference rather than those of newspaper and magazine. Newspaper and magazine are also influential in terms of expertise, and newspaper and magazine should be better than TV and radio in terms of credibility. The results of this study should be similar to previous studies in that TV and radio should be more inducing interest, and print media should be more credible than TV and radio.

• Journal of Korea Water Resources Association
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• v.39 no.8 s.169
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• pp.717-726
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• 2006

In this study, we developed a rainfall forecasting model using data from radiosonde and rain gauge network and neural networks. The primary hypothesis is that if we can consider the moving direction of the rain generating weather system in forecasting rainfall, we can get more accurate results. We assume that the moving direction of the rain generating weather system is same as the wind direction at 700mb which is measured at radiosonde networks. Neural networks are consisted of 8 different modules according to 8 different wind directions. The model was verified using 350 AWS data and Pohang radiosonde data. Correlation coefficient is improved from 0.41 to 0.73 and skill score is 0.35. Statistical performance measures of the Quantitative Precipitation Forecast (QPF) model show improved output compared to that of rainfall forecasting model using only AWS data.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.39-54
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• 2017

This study started from the consciousness that the community media practice studies have been confined to the traditional terrestrial broadcasting. The following research results and implications were obtained by analyzing Daedeok-valley Radio's case to elucidate characteristics of online-based community media and content production and distribution characteristics neglected in previous researches. First, online community media activities are civic/citizen media activities that capture the value of local communities, and this locality is realized through media content production and its online distribution. Second, contents of online community media link members of the community, and individuals become nodes, interacting both online and offline. Therefore, online-based citizen media activities can be utilized effectively as a means to enhance civic participation and to achieve the locality of community in online and offline spaces depending on strategies for online contents production and distribution. Utilizing online infrastructures for media content creation and distribution in Korea demonstrates potential opportunities of local online media to be considered as niche media that can increase its own sustainability.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5A
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• pp.450-456
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• 2011

In this paper, idle channel search schemes based on spectrum sensing are proposed for cognitive radio systems with multiple channels. Specifically, we propose a scheme for determining the order of sensing for multiple channels, for which the probability of each channel being idle is estimated every search interval. By performing sensing in the descending order of the probabilities, the time required for searching idle channels is expected to decrease. In addition, we combine the proposed scheme with a user grouping scheme to further improve the sensing performance. Simulation results show that the user grouping reduces the search time, although it degrades the reliability of detection. The proposed search scheme based on probability estimation of channel idleness is found to reduce the search time significantly as compared to the conventional random search scheme. We apply both the proposed search scheme and user grouping scheme to a cognitive radio system to validate the overall performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.4
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• pp.84-92
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• 2009

In this paper, using the received signal strength of radio beacon such as Wi-Fi, Bluetooth, CDMA and GPS signal from the satellite, we propose the system of positioning which considered indoor and outdoor based on the Place Lab. Conventional Place Lab utilize the various positioning parameters to estimate the indoor location. However, this conventional system has limitations with respect to the range and efficiency of usage. Therefore, we defined the converged model of multisensor data and re-organized the Place Lab to overcome the limitation of a conventional system. Proposed system uses the radio beacon signal and GPS signal together to estimate the location. Furthermore, it provides the seamless PNS service with many mobile devices because this system realized by the OSGi bundle. This proposed system has evaluated the performance with SAMSUNG T*OMNIA SCH-M490 smart phone and the result shows the system is able to support the PNS service.