• Journal of Korean Society of Coastal and Ocean Engineers
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• v.20 no.6
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• pp.540-552
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• 2008

We predicted to seasonal sediment transport pathway of the estuary area of the Nakdong river using the STA method. The eCSedtrend model was used to flexible application of the previous STA methods. The analysis of the seasonal interpretation of sediment transport pathway showed that the most dominant trend in the Nakdong estuary was CB+ and CB-. In case of CB+, it was identified around the area where the mud sediment was distributed and formed transport vector toward the north. Also, in case of CB-, it was identified mostly around the sand bar where the sand sediment was distributed and generally showed transport vector toward the north even though there was seasonal difference.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.13-20
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• 2022

IEEE 802.11ay Wi-Fi is the next generation wireless technology and operates in mmWave band. It supports the MU-MIMO (Multiple User Multiple Input Multiple Output) transmission in which an AP (Access Point) can transmit multiple data streams simultaneously to multiple STAs (Stations). To this end, the AP should perform MU-MIMO beamforming training with the STAs. For efficient MU-MIMO beamforming training, it is important for the AP to estimate signal strength measured at each STA at which multiple beams are used simultaneously. Therefore, in the paper, we propose a deep learning-based link quality estimation scheme. Our proposed scheme estimates the signal strength with high accuracy by utilizing a deep learning model pre-trained for a certain indoor or outdoor propagation scenario. Specifically, to estimate the signal strength of the multiple concurrent beams, our scheme uses the signal strengths of the respective single beams, which can be obtained without additional signaling overhead, as the input of the deep learning model. For performance evaluation, we utilized a Q-D (Quasi-Deterministic) Channel Realization open source software and extensive channel measurement campaigns were conducted with NIST (National Institute of Standards and Technology) to implement the millimeter wave (mmWave) channel. Our simulation results demonstrate that our proposed scheme outperforms comparison schemes in terms of the accuracy of the signal strength estimation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.953-959
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• 2018

This paper deals with controlling surge oscillations of a mooring vessel system under large external disturbances such as wind, waves and currents. A control synthesis based on Sliding Mode Control (SMC) with a Super-Twisting Algorithm (STA) has been applied to suppress nonlinear surge oscillations of a two-point mooring system. Despite the advantages of robustness against parameter uncertainties and disturbances for SMC, chattering is the main drawback for implementing sliding mode controllers. First-order SMC shows convergence within the desired level of accuracy, in which chattering is the main obstacle related to the destructive phenomenon. Alternatively, STA completely eliminates chattering phenomenon with high accuracy even for large disturbances. SMC based on STA is an effective tool for the motion control of a nonlinear mooring system because it avoids the chattering problems of a first-order sliding mode controller. In addition, the error trajectories of controlled mooring systems implemented by means of STA form in the bounded region. Finally, the control gain effect of STA can be observed in sliding surface and position trajectory errors.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.497-504
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• 2012

Information types and display methods according to the relation between frequency of exposure and degree of cognition was suggested by this study as a way to enhance effective communication by information in aspect of user cognition. First of all, we ascertained the relation between frequency of exposure and degree of cognition by literature research for cognitive psychology and cognitive engineering psychology, results are as follows based in it. First, we suggested information types and attributes for visualization as 'Framework' which helps designers understand cognitive demands of users. Specifically, there are 4 types(STM, STA, LTM, LTA) of information according to the relation between frequency of exposure and degree of cognition, cognitive characteristics for each types and 'attributes matrix for visualization' which is consisted of 14 attributes of high -quality information and resorted by the types. Second, we suggested a guideline for display methods according to depth of information in the design process of information contents. For display methods of STM, STA information as primary information, we suggested "Attribution theory of Distinctiveness", "Advance Organizer", "Progress Closure", "Affordance", for display methods of LTM information as multidimensional information, we suggested "Modularity", "Consistency", "Mimicry", "Mnemonic Device". We had found from this study that there are distinction of status for attributes of information visualization according to information types or depth, and various display methods by them.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.411-411
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• 2021

최근 들어 이상기후에 따른 집중호우의 영향과 하천 유역 내에서의 토지이용의 증가로 하천의 하류부에서의 홍수피해는 점점 증가하고 있다. 이에 대비하기 위해 하천 시설물 설치를 계획하거나 이수, 치수 계획을 세우기 위해서는 하상이 어떻게 변화할 것인지 파악하는 것이 중요하다. 연구 대상 지역 세종특별자치시 금남면 영대리 유천천은 최근 10년간 홍수로 인한 피해액이 연평균 약 2.4억 원으로 나타났으며 매년 피해가 지속되고 있다. 유천천은 인위적 하도의 변경과 토지이용 상황의 변화 및 하천 골재채취, 댐 및 저수지 건설, 자연적인 홍수 등으로 하상이 변동되고 있으며, 그로 인해 생긴 유로의 변화로 발생할 수 있는 피해 예측이나 하천 시설물 설치를 위해서는 변동 결과의 예측이 필요하다. 따라서 본 연구에서는 대상 유역의 하상변동을 분석하기 위하여 HEC-RAS Sediment Transport Analysis(STA) 모형을 적용하였다. 적용한 데이터를 바탕으로 장래 하상변동 결과를 예측하였고 GIS 기법을 이용하여 유역의 특성 및 유출 특성에 관한 인자들을 도출하였다. 장래 1년, 5년, 10년 단위로 하상변동의 예측이 가능한 HEC-RAS STA 모형 분석 결과, 하상경사가 급한 각 하천상류 구간과 횡단시설물의 상류층에서는 하상저하가 발생하고, 하상경사가 완만한 하류 구간 부근에서는 일부 하상 상승이 발생하는 것으로 나타났다. 수위상승에 대비하여 지속적인 관찰과 상승구간에 대한 주기적인 하천 정비를 통하여 홍수기에 수위상승을 억제할 필요가 있을 것으로 판단된다. 본 연구의 결과는 하도 안정성과 이수와 치수안정성 확보, 하천의 효율적인 이용과 보전, 유지관리 시 기본해석으로 활용할 수 있을 것으로 사료된다.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.8
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• pp.26-33
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• 2017

Vehicle communication can facilitate efficient coordination among vehicles on the road and enable future vehicular applications such as vehicle safety enhancement, infotainment, or even autonomous driving. In the $3^{rd}$ Generation Partnership Project (3GPP), many studies focus on long term evolution (LTE)-based vehicle communication. Because vehicle speed is high enough to cause severe channel distortion in vehicle-to-vehicle (V2V) environments. We can utilize channel estimation methods to approach a reliable vehicle communication systems. Conventional channel estimation schemes can be categorized as least-squares (LS), decision-directed channel estimation (DDCE), spectral temporal averaging (STA), and smoothing methods. In this study, we propose a smart channel estimation scheme in LTE-based V2V environments. The channel estimation scheme, based on an LTE uplink system, uses a demodulation reference signal (DMRS) as the pilot symbol. Unlike conventional channel estimation schemes, we propose an adaptive smoothing channel estimation scheme (ASCE) using quadratic smoothing (QS) of the pilot symbols, which estimates a channel with greater accuracy and adaptively estimates channels in data symbols. In simulation results, the proposed ASCE scheme shows improved overall performance in terms of the normalized mean square error (NMSE) and bit error rate (BER) relative to conventional schemes.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.203-206
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• 2014

무선 LAN(Wireless Local Area Networks 의 DCF(Distributed Coordination Function) 방식은 랜덤 백 오프 방식으로 매체에 접근하기 때문에 지연이 발생하여 정해진 시간 내에 전송을 보장할 수 없다는 단점이 있다. [1] 이는 곧 실시간 멀티미디어 트래픽(비디오, 음성 등)의 QoS(Quality Of Service)를 보장할 수 없다는 것을 뜻한다. 또한 IEEF 802.11e 표준 [2]에서 제공하는 QoS 를 위한 EDCA(Enhanced Distributed Channel Access)라는 프로토콜은 제시되어있으나 실제로 구현되어있는 디바이스의 부재로 QoS 를 지원하기가 어렵다. 따라서 무선 랜에서 IEEE 802.11e 를 지원하지 않는 망내 디바이스, 즉 큐가 1 개인 STA, 즉 기본적인 802.11 표준 기술인 DCF 를 사용하는 STA 을 위해서 멀티미디어 트래픽의 실시간 전송을 보장하기 위한 기법을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1020-1023
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• 2010

소프트웨어 개발은 복잡도가 높고 가시성 확보가 어려워 전략적으로 접근해야 한다. 일반 개발 프로젝트에서 개발 전략은 특정 개발 모델과 프로젝트 관리 기법을 사용하겠다는 것이 주류를 이루고 있다. 이러한 방법은 각 개발 단계에서 업무를 진행하는 프로젝트 참여자가 프로젝트 전체를 보지 못하고 각자의 전문 분야만을 국지적으로 개발하여 초기에 의도된 대로 개발되지 않는 결과를 초래하는 경우가 다반사여서 개발 전략으로서의 역할을 적절히 수행하지 못하는 문제가 있다. 본 연구에서는 리스크 기반의 개발 전략을 제시한다. 개발 프로젝트 전체는 물론 개발의 각 단계 별로 전략이 존재할 수 있으며, 전사 차원과 프로젝트 차원의 전략이 존재한다. 분석한 리스크 레벨에 차등적으로 개발 리소스를 할당하고, 개발 기법을 사용하고, 리뷰 및 검증 활동을 진행하여 제한된 개발 리소스를 합리적이고 적절하게 사용하여 개발하고, 개발 과정을 모니터링 및 제어하는 접근법이다. 이미 개발의 일부인 테스팅 분야에서는 리스크 기반 테스팅 전략이라는 이름으로 활용하여 직간접적인 효과를 보고 있으며, 같은 개념을 개발 전체로 확장하여 개발 전략으로 체계화하여 제시한다.

• Korean Journal of Remote Sensing
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• v.33 no.6_3
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• pp.1215-1221
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• 2017

SeNtinel's Application Platform (SNAP) is an open source software developed by the European Space Agency and consists of several toolboxes that process data from Sentinel satellite series, including SAR (Synthetic Aperture Radar) and optical satellites. Among them, S1TBX (Sentinel-1 ToolBoX)is mainly used to process Sentinel-1A/BSAR images and interferometric techniques. It provides flowchart processing method such as Graph Builder, and has convenient functions including automatic downloading of DEM (Digital Elevation Model) and image mosaicking. Therefore, if computer memory is sufficient, InSAR (Interferometric SAR) and DInSAR (Differential InSAR) perform smoothly and are widely used recently in the world through rapid upgrades. S1TBX also includes existing SAR data processing functions, and since version 5, the processing capability of KOMPSAT-5 has been added. This paper shows an example of processing the interference technique of KOMPSAT-5 SAR image using S1TBX of SNAP. In the open mine of Tavan Tolgoi in Mongolia, the difference between DEM obtained in KOMPSAT-5 in 2015 and SRTM 1sec DEM obtained in 2000 was analyzed. It was found that the maximum depth of 130 meters was excavated and the height of the accumulated ore is over 70 meters during 15 years. Tidal and topographic InSAR signals were observed in the glacier area near Jangbogo Antarctic Research Station, but SNAP was not able to treat it due to orbit error and DEM error. In addition, several DInSAR images were made in the Iraqi desert region, but many lines appearing in systematic errors were found on coherence images. Stacking for StaMPS application was not possible due to orbit error or program bug. It is expected that SNAP can resolve the problem owing to a surge in users and a very fast upgrade of the software.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.185-191
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• 2008

Most threats of WLAN are easily caused by attackers who access to the radio link between STA and AP, which involves some Problems to intercept network communications or inject additional messages into them. In comparison with wired LAN, severity of wireless LAN against threats is bigger than the other networks. To make up for the vulnerability of wireless LAN, it needs to use the Intrusion Detection System using a powerful intrusion detection method as SVM. However, due to classification based on calculating values after having expressed input data in vector space by SVM, continuous data type can not be used as any input data. In this paper, therefore, we design the IDS system for WLAN by tuning with SVM and data-mining mechanism to defend the vulnerability on certain WLAN and then we demonstrate the superiority of our method.