• Cross-Cultural Studies
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• v.35
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• pp.155-184
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• 2014

The present study aims at exploring in detail the Buddhist worldview and aesthetics of humor in Jo O-hyeon's literary works. This includes the same context as an elucidation of the ways in which his poems closely correspond in expressive forms and thematic contents. It is because, in Jo's literary world, where short poems and prose poems form a contrast, the expressive forms and thematic contents sharply differ depending on the ways in which prajnapti (provisional designation) is either foregrounded or backgrounded. In his literary world, when such a view of language and a worldview based on prajnapti are foregrounded, works that either inherit or play a variation on the fixed structure of the sijo emerge; and when they recede to the rear and are backgrounded, verses in the form of the prose poem are formulated. In addition, in Jo's literary works, where such a worldview of prajnapti and an aesthetics of secular humor intersect together, the thoughts on bheda-abheda(difference-non-difference) and the madhyama-pratipad (middle way) are formed. Such thoughts have considerable significance because they not only harbor a possibility of deconstructing and overcoming the opposition of the sacred/profane but also present a vision of a new unity.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.539-539
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• 2006

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.201-203
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• 2019

5G 시스템은 혁신적인 발전을 거듭하며 강력해진 기술 표준을 근간으로 초광대역 이동형 데이터 서비스, 대규모 사물통신 서비스 등을 제공하고 있다. 본 논문에서는 SW를 기반으로 한 5G의 기술 개발 방법론을 제안한다. 또, 실제 환경에서 차세대 모바일 네트워크의 성능 분석이 가능한 SW 기반의 시스템 레벨 테스트베드 및 모니터링 프로그램을 OAI(Openairinterface) 5G 연구 단체의 오픈소스를 이용하여 구현한다. 기존 하드웨어 위주의 단일 칩 시스템(SoC)을 이용한 구현은 손상되기가 쉽고 유지보수가 힘들다는 단점이 있다. 하지만 기존 하드웨어 칩을 소프트웨어 기반인 소스코드로 구현하면 유지 보수가 용이하다는 장점뿐만 아니라 하드웨어가 변경되더라도 다른 하드웨어에 호환되는 이식성 때문에 생산성이 높아지며 비용 절감의 효과도 기대할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.331-334
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• 2019

본 논문에서 소개하는 LoRa 기반 IoT 네트워크를 이용한 수위측정기는 저전력/저비용 오픈 하드웨어를 이용하여 구현하였다. 이 수위 측정기는 LoRa 네트워크를 통해 넓은 커버리지를 저전력으로 지원가능하며 기존 수위측정기보다 저렴하다는 장점이 있다. 또한, 상황에 따라 전력 소모를 최적화하기 위해 데이터베이스 업데이트 주기를 조정할 수 있다. 이를 기반으로 사용자는 웹페이지를 통해 실시간 수위현황과 주간별 수위현황을 알 수 있고, 범람 단계별 행동 요령을 파악할 수 있다.

• Tuberculosis and Respiratory Diseases
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• v.70 no.3
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• pp.247-250
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• 2011

The pandemic (H1N1) 2009 influenza outbreak coincided with the typical Scrub typhus season, which can lead to diagnostic difficulties due to their similar and non-specific symptoms. Here we describe a case of laboratory confirmed co-infection of Pandemic (H1N1) 2009 influenza and Scrub typhus and discuss the difficulties in distinguishing the two illnesses clinically.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.1-6
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• 2020

A new resource management algorithm is proposed for 5G networks which have a coordinated network architecture. By sharing the contol information among multiple neighbor cells and managing in centralized structure, the propsed algorithm fully utilizes the benefits of network coordination to increase fairness and throughput at the same time. This optimization of network performance is achieved while operating within a tolerable amount of signaling overhead and computational complexity. Simulation results confirm that the proposed scheme improve the network capacity up to 40% for cell edge users and provide network-wise fairness as much as 23% in terms of the well-knwon Jain's Fainess Index.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.43-49
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• 2020

In spite of the notable advancements of millimeter wave communication technologies, the 60 GHz Wi-Fi is still not widespread yet, mainly due to the high limitation of coverage. Conventionally, it has been hardly possible to support a high data rate with fast beam adaptation while keeping atmospheric beamforming coverage. To solve these challenges in the 60 GHz communication system, holistic system designs are considered. we implemented an enhanced design LDPC decoder enabling 6.72 Gbps coded-throughput with minimal implementation loss, and our proposed phase-tracking algorithm guarantees 3.2 dB performance gain at 1 % PER in the case of 16 QAM modulation and LDPC code-rate 3/4.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.1-7
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• 2020

This paper proposes a link adaptation method for Underwater Internet of Things (IoT), which reduces power consumption of sensor nodes and improves the throughput of network in underwater IoT network. Adaptive Modulation and Coding (AMC) technique is one of link adaptation methods. AMC uses the strong correlation between Signal Noise Rate (SNR) and Bit Error Rate (BER), but it is difficult to apply in underwater IoT as it is. Therefore, we propose the machine learning based AMC technique for underwater environments. The proposed Modulation Coding and Scheme (MCS) prediction model predicts transmission method to achieve target BER value in underwater channel environment. It is realistically difficult to apply the predicted transmission method in real underwater communication in reality. Thus, this paper uses the high accuracy BER prediction model to measure the performance of MCS prediction model. Consequently, the proposed AMC technique confirmed the applicability of machine learning by increase the probability of communication success.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.23-29
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• 2020

These days, digital forensic technologies are being used frequently at crime scenes. There are various electronic devices at the scene of the crime, and digital forensic results of these devices are used as important evidence. In particular, the user's action and the time when the action took place are critical. But there are many limitations for use in real forensics analyses because of the short cycle in which user actions are recorded. This paper proposed an efficient method for recovering deleted user behavior records and applying them to forensics investigations, then the proposed method is compared with previous methods. Although there are difference in recovery result depending on the storage, the results have been identified that the amount of user history data is increased from a minimum of 6% to a maximum of 539% when recovered user behavior was utilized to forensics investigation.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.1-7
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• 2020

The demand on the underwater communications is extremely increasing in searching for underwater resources, marine expedition, or environmental researches, yet there are many problems with the wireless communications because of the characteristics of the underwater environments. Especially, with the underwater wireless networks, there happen inevitable delay time and spacial inequality due to the distances between the nodes. To solve these problems, this paper suggests a new solution based on ALOHA-Q. The suggested method use random NAV value. and Environments take reward through communications success or fail. After then, The environments setting NAV value from reward. This model minimizes usage of energy and computing resources under the underwater wireless networks, and learns and setting NAV values through intense learning. The results of the simulations show that NAV values can be environmentally adopted and select best value to the circumstances, so the problems which are unnecessary delay times and spacial inequality can be solved. Result of simulations, NAV time decreasing 17.5% compared with original NAV.