• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.177-182
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• 2024

A consumer's decisions are made by affection of product. Affection has types: evaluation, mood, emotion and sensibility that means unconscious changes. Previous researches have clarified weather factors affect to sensibility that means weather factors may have causal effects to consumer's decision making. This research utilize weather information from KMA(Korea Meteorological Administration) and SNS geographical information and text to make weather sensibility model, and clarify the model shows significant change to online shop customer's purchase behavior(purchase frequency) by merging customer's address information and geometric information of the model for apply weather model. As a result, a model utilize daily precipitation, sunshine hours, average ground temperature, and average relative humidity makes significant result to e-commerce purchase behavior frequency.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.6
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• pp.373-381
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• 2012

An automatic flow and water quality monitoring system was applied to estimate pollutant loads to an urban stream during storm events in DTV (Daeduk Techno Valley), Daejeon, Korea. The monitoring system consists of rainfall gage, ultrasonic water level meter, water quality sensors for DO, temperature, pH, conductivity, turbidity and automatic water sampler for further laboratory analysis. All data are transmitted through on-line system and the monitoring system is designed to be controlled manually in the field and remotely from laboratory computer. Flow rates were verified with field measurements during storm events and showed good agreements. Automatic sampler was used to collect real time samples and analyzed for BOD, COD, TN, TP, SS and other pollutant concentrations in the laboratory. SWMM (Storm Water Management Model) urban watershed model was applied and calibrated using the observed flow and water quality data for the study area. While flow modeling results showed good agreement for all events, water quality modeling results showed variable levels of agreement. These results indicate that current options in the SWMM model to predict pollutant build up and wash-off effects are not sufficient to satisfy modeling of all the rainfall events under study and thus need further modification. This study showed the automatic monitoring system can be used to provide data to assist further refinement of modeling accuracy. This automatic stormwater monitoring and modeling system can be used to develop basin scale water quality management strategies of urban streams in storm events.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1173-1183
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• 2023

Over the past 20 years, Korea's overall import and export cargo volume has increased at an average annual rate of approximately 5.3%. About 99% of the cargo is still being transported by sea. Due to recent increases in maritime cargo volume, congestion in maritime logistics has become challenging due to factors such as the COVID-19 pandemic and conflicts. Continuous monitoring of ports has become crucial. Various ground observation systems and Automatic Identification System (AIS) data have been utilized for monitoring ports and conducting numerous preliminary studies for the efficient operation of container terminals and cargo volume prediction. However, small and developing countries' ports face difficulties in monitoring due to environmental issues and aging infrastructure compared to large ports. Recently, with the increasing utility of artificial satellites, preliminary studies have been conducted using satellite imagery for continuous maritime cargo data collection and establishing ocean monitoring systems in vast and hard-to-reach areas. This study aims to visually detect ships docked at berths in the Busan New Port using high-resolution satellite imagery and quantitatively evaluate berth utilization rates. By utilizing high-resolution satellite imagery from Compact Advanced Satellite 500-1 (CAS500-1), Korea Multi-Purpose satellite-3 (KOMPSAT-3), PlanetScope, and Sentinel-2A, ships docked within the port berths were visually detected. The berth utilization rate was calculated using the total number of ships that could be docked at the berths. The results showed variations in berth utilization rates on June 2, 2022, with values of 0.67, 0.7, and 0.59, indicating fluctuations based on the time of satellite image capture. On June 3, 2022, the value remained at 0.7, signifying a consistent berth utilization rate despite changes in ship types. A higher berth utilization rate indicates active operations at the berth. This information can assist in basic planning for new ship operation schedules, as congested berths can lead to longer waiting times for ships in anchorages, potentially resulting in increased freight rates. The duration of operations at berths can vary from several hours to several days. The results of calculating changes in ships at berths based on differences in satellite image capture times, even with a time difference of 4 minutes and 49 seconds, demonstrated variations in ship presence. With short observation intervals and the utilization of high-resolution satellite imagery, continuous monitoring within ports can be achieved. Additionally, utilizing satellite imagery to monitor changes in ships at berths in minute increments could prove useful for small and developing country ports where harbor management is not well-established, offering valuable insights and solutions.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.165-174
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• 2005

고압전류가 흐르는 송전탑이 주거 밀집지역 인근에 설치되거나 송전탑과 가까운 곳에 아파트가 건설되면서 주민들이 한전을 상대로 손해배상 청구소송을 추진하는 등 전자파 피해에 따른 민원이 끊이지 않고 있다. 이와 같은 문제에 대해 해결책을 제시하기 위해서는 송전선 주변 전자파의 실체에 대해 과학적이고 객관적인 조사를 거쳐 국민에게 납득할 수 있는 대안을 제시하는 것이 선행되어야할 작업이다. 그러나 현재 전자파 데이터는 조사 지점만의 단편적인 측정치를 보여주는 수준에 머물러 있어 전자파 확산 등 광역적인 분포 추이에 대한 시각적인 정보를 입수하는 데 상당한 한계가 있다. 따라서 본 연구에서는 GIS기반의 공간 모델링 기법을 활용하여 거리와 전류를 토대로 분포되는 송전선 주변의 전자파 시뮬레이션 기법을 제안하고자 한다. 이와 같은 문제에 대해 대안을 제시하고자, 지역주민이 일상생활에서 접하고 있는 지역의 지도(건물, 도로망 등)를 전자파 유동에 관한 이론에 의거하여 3차원 상에서 전자파 시뮬레이션을 수행하였다. 전자파 시뮬레이션 결과를 검증하기 위해 사용한 실측 데이터는 인천광역시 서구 가정2동에 위치한 봉수 초등학교의 학생들에게 전자파 측정장비를 부착하도록 하여 확보하였다 송전선에서 전자파 방출에 개입하는 거리와 전류의 세기에 의거하여 전자파의 분포를 예측하였으며 실측 데이터와 이론적인 데이터를 비교하여 상관성을 평가했다. 통상 전자파 조사과정은 지도에 표기된 조사지점을 일일이 확인하는 등 모든 측정 작업을 수작업에 의존하고 있다. 따라서 DB구축에 시간이 많이 소요되고 정확도도 많이 떨어질 수밖에 없어 다양한 조건으로 방대한 자료를 공간상에서 검색하는 것 자체가 불가능하였다. 전자파의 분포를 그래픽정보로 가공하여 광역적인 전자파 변화 추이를 풍부한 시각 정보로 디스플레이 하는 것도 어려웠다. 또한 수작업으로 인한 실수도 많이 발생하고 그에 따른 교정 작업도 복잡하였다. 본 연구에서는 송전선에서 방출되어지는 전자파의 이론적인 데이터와 실측 데이터의 상관성에 따른 분석 결과를 가지고 실측 데이터 없이 GIS 기반의 3D 시뮬레이션에 의거하여 전자파의 공간적인 가시화를 수행할 수 있었다. 본 전자파 시뮬레이션 기법이 실무에 이용될 경우, 일반인이 전자파의 분포에 대한 전문지식을 습득할 필요 없이, 검색하고자 하는 지역과 송전선, 전철 등 각종 전자파의 발생 공간 객체를 선택하여 실생활과 관련된 전자파 정보에 예측할 수 있어, 대민 환경정보 서비스 질의 개선측면에서 획기적인 계기를 마련할 것으로 사료된다.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.511-518
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• 2016

RAPCON non only controls landing/take-off procedures but also approaching air traffics within 60-70 NM range of air force base. This paper, first of all, tries to research the failure rate per operation hours, mean time between failure (MTBF) of RAPCON according to six blocks such as interrogator, receiver, power unit, display unit, data process unit and antenna. In addition, this paper estimates the maintenance cost over next 10 months based on 50 monthly maintenance cost data. Considering the maintenance cost data from RAPCON which has been used over designed service life span, it is no doubt the forecasted data proved the monthly cost would go up incrementally during the rest of economic life of the facility. Such research result is also proven to be the same with the result of bathtub curve data during operating life.

• The Journal of the Acoustical Society of Korea
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• v.39 no.4
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• pp.364-370
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• 2020

Rocket noise generated from the exhaust plume produces the enormous acoustic loading, which adversely affects the integrity of the electronic components and payload (satellite) at liftoff. The prediction of rocket noise consists of two steps: the supersonic jet exhaust is simulated by a method of the Computational Fluid Dynamics (CFD), and an acoustic transport method, such as the Helmholtz-Kirchhoff integral, is applied to predict the noise field. One of the difficulties in the CFD step is to remove the boundary reflection artifacts from the finite computation boundary. In general, artificial damping, known as a sponge layer, is added nearby the boundary to attenuate these reflected waves but this layer demands a large computational area and an optimization procedure of related parameters. In this paper, a cost-efficient way to separate the reflected waves based on the two microphone method is firstly introduced and applied to the computation result of a laboratory-scale supersonic jet noise without sponge layers.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1431-1439
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• 2017

In the security field, log analysis is important to detect malware or abnormal behavior. Recently, image visualization techniques for malware dectection becomes to a major part of security. These techniques can also be used in online games. Users can leave a game when they felt bad experience from game bot, automatic hunting programs, malicious code, etc. This churning can damage online game's profit and longevity of service if game operators cannot detect this kind of events in time. In this paper, we propose a new technique of PNG image conversion based churn prediction to improve the efficiency of data analysis for the first. By using this log compression technique, we can reduce the size of log files by 52,849 times smaller and increase the analysis speed without features analysis. Second, we apply data mining technique to predict user's churn with a real dataset from Blade & Soul developed by NCSoft. As a result, we can identify potential churners with a high accuracy of 97%.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.186-186
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• 2012

새만금에서 농업용수의 안정적인 확보를 위해서는 새만금호의 수질관리가 절대적으로 필요하며 농업비점오염 부하량이 총인기준으로 52~72%를 차지하는 것을 고려할 때 농업비점오염 관리는 중요하다. 이에 "새만금유역농업비점오염 저감기법 개발 연구"를 통해 논과 밭 등의 농업비점 오염원별 최적관리기법 개발을 목적으로 모니터링 연구가 수행되었다. 유역규모 물수지 및 물질수지 분석에 있어서 논은 전체 농업용수의 60%를 차지하고 있다. 특히 농업비점오염 중에서 논은 물고 및 담수심의 관리에 따라서 기타 토지이용과 상이한 유출특성을 보인다. 따라서 유역규모에서 논으로부터 발생되는 비점오염의 시공간적인 부하량의 변화를 예측하기 위해서는 반드시 논에서의 물관리와 시비관리에 따른 수량과 수질의 유출특성에 대한 분석이 선행되어야 한다. 물관리 및 시비관리 방법에 따라 논으로부터 발생되는 오염부하량이 수질에 미치는 영향을 분석하기 위해서는 논에서의 물수지 및 물질수지 모니터링 기법이 활용될 수 있다. 하지만 모니터링 접근 방식은 오랜 시간과 많은 비용을 필요로 하는 단점을 가지고 있다. 따라서 고려되어 지고 있는 여러 저감기법들 중에서 농업비점오염물질의 유출에 미치는 영향을 파악하여 가장 적합한 저감기법 (Best Managment Practices, BMPs)을 선정하기 위해서 다양한 수학적인 모형들이 사용되어 왔다. 비점오염 관리는 오염물질이 오염원에서 발생되는 양 자체를 줄이거나 또는 오염원으로부터 수체에 이르기까지의 과정에서 운송을 차단시키는 방법들을 활용하고 있다. 따라서 논에서의 비점오염 모델링 또한 논에서의 유출 특성 및 질소와 인과 같은 영양물질과 관련된 기작을 고려한 모형들이 선택 및 적용되어야 한다. 논에서의 물관리 및 시비관리를 고려할 수 있는 모형들로는 CREAMS-PADDY, GLEAMS-PADDY, PADDYMOD, APEX와 같은 모형들이 개발되어 사용되어 왔다. 따라서 본 연구에서 논으로부터의 비점오염 부하량 예측을 위해 사용되어 온 모형들의 장단점을 비교 분석하고 적합한 모형들을 동일한 시험포장에 적용하여 논 비점오염관련 모형들의 국내 적용성을 제시하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.2
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• pp.87-94
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• 2017

Because the cavitation flow driven by an underwater propeller corrodes the materials around it and generates a high level of noise, it has become an important topic in engineering research. In this study, computational fluid dynamics techniques are applied to simulate cavitation flow, and the noise in the flow is predicted by applying the acoustic analogy to the predicted flow. The predicted results are compared with measurement results and other predictions in terms of surface pressure distribution and the temporal variation in liquid volume fraction. The predicted results are found to be in good agreement with the measured results. The source of the noise attributed to the time rate of change in the liquid volume fraction around the hydrofoil is modeled as a monopole source, and the source of the noise due to unsteady pressure perturbations on the hydrofoil surface is modeled as a dipole source. Then the predicted noise results are analyzed in terms of directivity and SPL spectrum. The noise caused by unsteady pressure perturbations was dominant in the entire frequency range considered in the study.

• Ecology and Resilient Infrastructure
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• v.9 no.1
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• pp.24-35
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• 2022

For water quality management, it is necessary to continuously improve the forecasting by analyzing the past water quality, and a Data-driven model is emerging as an alternative. Because the Data-driven model is built based on a wide range of data, it is essential to apply the correlation analysis method for the combination of input variables to obtain more reliable results. In this study, the Gamma Test was applied as a preceding step to build a faster and more accurate data-driven water quality prediction model. First, a physical-based model (HSPF, EFDC) was operated to produce daily water quality reflecting the complexity of the watershed according to various hydrological conditions for Paldang Dam. The Gamma Test was performed on the water quality at the water quality prediction site (Paldangdam2) and major rivers flowing into the Paldang Dam, and the method of selecting the optimal input data combination was presented through the analysis results (Gamma, Gradient, Standar Error, V-Ratio). As a result of the study, the selection criteria for a more efficient combination of input data that can save time by omitting trial and error when building a data-driven model are presented.