• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2011.11a
• /
• pp.63-65
• /
• 2011

부산신항은 지형적인 특성상 마산 방면에서 입출항하는 선박과 신항으로 입출항하는 선박이 서로 교차하는 경우가 빈번하고 대형 컨테이너선과 저속 예부선 등의 통항량이 많을 뿐만 아니라 년 중 안개일수도 많아 충돌사고 위험이 상존한다. 따라서 선박에 정보제공 정도만 하는 소극적 관제 보다는 선박의 이동에 개입하는 적극적인 관제가 사고 방지에 더욱 효과적이라 할 수 있다. 부산신항의 관제 자료 및 해양안전심판원의 재결사례 등을 통하여 충돌사고의 원인을 분석하는 과정에서 적극적 관제의 필요성을 확인할 수 있었다. 본고에서는 부산신항에서의 적극적 관제 사례와 문제점을 주로 법률적인 측면에서 살펴보고, 적극적 관제의 개선 방안을 도출하여 보았다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2017.11a
• /
• pp.132-133
• /
• 2017

The International Maritime Organization (IMO) has defined e-Navigation for the purpose of providing safe and efficient maritime information and communication services. Currently, a maritime cloud is being developed as a communication infrastructure for e-Navigation services. In this paper, we design the structure of vessel ID importation system which can efficiently register the maritime ID in the maritime cloud environment.

• Journal of the Korean earth science society
• /
• v.36 no.6
• /
• pp.567-579
• /
• 2015

The accurate simulation of micro-scale weather phenomena such as fog using the mesoscale meteorological models is a very complex task. Especially, the uncertainty arisen from initial input data of the numerical models has a decisive effect on the accuracy of numerical models. The data assimilation is required to reduce the uncertainty of initial input data. In this study, the limitation of the mesoscale meteorological model was verified by WRF (Weather Research and Forecasting) model for a summer fog event around the Nakdong river in Korea. The sensitivity analyses of simulation accuracy from the numerical model were conducted using two different initial and boundary conditions: KLAPS (Korea Local Analysis and Prediction System) and LDAPS (Local Data Assimilation and Prediction System) data. In addition, the improvement of numerical model performance by FDDA (Four-Dimensional Data Assimilation) using the observational data from AWS (Automatic Weather System) was investigated. The result of sensitivity analysis showed that the accuracy of simulated air temperature, dew point temperature, and relative humidity with LDAPS data was higher than those of KLAPS, but the accuracy of the wind speed of LDAPS was lower than that of KLAPS. Significant difference was found in case of relative humidity where RMSE (Root Mean Square Error) for LDAPS and KLAPS was 15.7 and 35.6%, respectively. The RMSE for air temperature, wind speed, and relative humidity was improved by approximately $0.3^{\circ}C$, $0.2m\;s^{-1}$, and 2.2%, respectively after incorporating the FDDA.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.329-332
• /
• 2015

야간에 자동차를 운행할 때 검정색 차량 같은 어두운 색상의 자동차는 운전자가 인지를 못하는 경우가 많고 안개가 짙게 낀 상황도 운전자의 시야가 좁아져 교통사고율이 급격하게 증가한다. 도로교통공단의 자료에 의하면 최근 5년(2009~2013) 동안 가해자의 안전거리 미확보로 인한 교통사고는 매년 감소하는 것으로 나타나지만, 안전운전 의무 불이행 다음으로 두 번째로 높은 사고 건수를 기록하고 있다. 이는 아직도 운전자의 시인성 저하에 대한 방안이 부족하기 때문이다. 시인성 저하를 위한 대책으로 BMW, AUDI, Benz 회사에서 적외선 카메라를 이용한 나이트 비젼이 있으나 거리감지기능이 없어 디스플레이를 계속 주시하면서 운행하여야 하므로 시야가 좁아져 다른 위험이 발생할 수 있다. 현재 시중에 제공되고 있는 적외선 나이트 비젼 카메라를 이용하였을 때 일반 시야보다 약 4배 정도의 거리를 인식할 수 있었고, 이러한 나이트 비젼의 장점을 활용하여 전면 차량과의 안전거리를 확보하는 시스템을 제안한다. 본 논문에서는 제시하는 시스템은 시인성이 떨어지는 환경을 가정하여 설계하였고 나이트 비젼 카메라를 이용해 디스플레이로 출력하여 육안으로 구분할 수 없는 물체도 인지할 수 있어 헤드라이트를 켜고 운행할 때보다 안전한 운행을 할 수 있을 것으로 보인다. 하지만 디스플레이를 지속적으로 주시하며 운행할 경우 거리 감각이 떨어져 근접해 오는 물체와의 충돌 사고를 막기 힘들 것으로 보인다. 따라서 이러한 단점을 보안하기 위해 영상 데이터를 활용하여 앞 차량의 유무를 파악하고 차량이 있을 때 안전거리를 디스플레이에 표시함으로 앞 차량과의 거리를 유지하여 사고를 예방하여 안전 운행이 가능하도록 설계하였다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.23 no.4
• /
• pp.1006-1015
• /
• 1998

In general, attenuation at frequencies over 20GHz is mainly due to absorption by satmospheric gases, rain, and snow. Among this factors rain become an important limiting factor. Rain attenuation is highly influenced by rainfall-intensity and it varies over time and space. Thus it is requeired to obtain spatial and temporal data of rainfall-intensity for precise prediction of rainfall attenuation. In this paper, rainfall intensity of thiry-two measurement sites in South Korea excluding JeiJdo Islands over recent ten years is obtained and the regional relation between rainfall-intensity and percent of time is analyzed. Also we present the new method about rainfall-intensity cumulative distribution.

• Journal of Software Assessment and Valuation
• /
• v.15 no.1
• /
• pp.87-95
• /
• 2019

In this study, we surveyed the public awareness about cyber security. Through the survey, we found the awareness for cyber threats that are easily exposed to the public, the one is felt anxiety by the people, and harmful contents in the online. As a result, we analyzed the various cyber threats, and found the internet usage environments, thoughts on unhealthy contents, person in charge of prevention and its methods. The results of the study can be considered as the bases of the extracting requirements for designing convergence research items in the cyber security, and they also suggested its utilization.

• Journal of Korean Ophthalmic Optics Society
• /
• v.20 no.3
• /
• pp.355-362
• /
• 2015

Purpose: To investigate the effects of the transmittance of diffusive blurson visual acuity and contrast sensitivity. Methods: Visual acuity and contrast sensitivity were measured by using Optec$^{(R)}$ 6500 in Healthy 30 subjects aged $22.83{\pm}0.50$ (male 13, female 17) who were recruited from university students. Cataract simulator was used as a tool for diffusive blur. Visual acuity and contrast sensitivity were measured with varying the transmittance of diffusive blur in order to simulate progression of cataract and concentration in fog. Results: Visual acuity was reduced proportionally with decreasing the transmittance of the diffusive blur as follows: $VA(T)=1.84{\times}10^{-2}T-0.645$. Contrast sensitivity was decreased in all spatial frequencies. Contrast sensitivity in a high spatial frequency band was a greater effect and was off the normal range of contrast sensitivity. The peak of contrast sensitivity was moved in the direction to low frequency. From an intersection point of contrast sensitivity function, we could calculated the transmittance of the diffusive blur being off the normal range and the shift to peak spatial frequency. The peak of contrast sensitivity function was observed to move from 6 to 3 cpd at transmittance of about 78.70%, the contrast sensitivities for all frequencies at transmittance of about 69.71% were deviated from the normal range. Conclusions: The transmittance of diffusive blur causes a reduction in visual acuity and contrast sensitivity, a deviation of normal range of contrast sensitivity, and a shift of peak contrast sensitivity. Therefore the more attention is required when suffering from cataracts or driving in fog.

• Korean Journal of Remote Sensing
• /
• v.39 no.6_1
• /
• pp.1451-1466
• /
• 2023

In the context of maritime emergencies, the utilization of drones has rapidly increased, with a particular focus on their application in search and rescue operations. Deep learning models utilizing drone images for the rapid detection of distressed vessels and other maritime drift objects are gaining attention. However, effective training of such models necessitates a substantial amount of diverse training data that considers various weather conditions and vessel states. The lack of such data can lead to a degradation in the performance of trained models. This study aims to enhance the performance of deep learning models for distress ship detection by developing a maritime environment simulator to augment the dataset. The simulator allows for the configuration of various weather conditions, vessel states such as sinking or capsizing, and specifications and characteristics of drones and sensors. Training the deep learning model with the dataset generated through simulation resulted in improved detection performance, including accuracy and recall, when compared to models trained solely on actual drone image datasets. In particular, the accuracy of distress ship detection in adverse weather conditions, such as rain or fog, increased by approximately 2-5%, with a significant reduction in the rate of undetected instances. These results demonstrate the practical and effective contribution of the developed simulator in simulating diverse scenarios for model training. Furthermore, the distress ship detection deep learning model based on this approach is expected to be efficiently applied in maritime search and rescue operations.

• Journal of Bio-Environment Control
• /
• v.26 no.3
• /
• pp.181-187
• /
• 2017

The purpose of this study was to provide basic data for development of environmental design technology for greenhouses constructed in reclaimed lands. The climatic conditions around seven major reclaimed land areas with a plan to install advanced horticultural complexes in Korea were analyzed. The characteristics of natural ventilation and temperature rise through the thermal environment measurement of the greenhouse in Saemangeum were analyzed. The part to be applied to the environmental design of the greenhouses in reclaimed lands were reviewed. Results of comparing the ventilation rate of the greenhouse according to the presence or absence of plants showed the greenhouse with plants had the lower ventilation rate, but the smaller rise of indoor temperature due to the evapotranspiration of plants. In the greenhouse with plants, the number of air changes was in the range of 0.3 to 0.9 volumes/min and the average was 0.7 volumes/min. The rise of indoor temperature relative to outdoor temperature was in the range of 1 to $5^{\circ}C$ and the average $2.5^{\circ}C$. The natural ventilation performance of the experimental greenhouse constructed in the reclaimed land almost satisfied the recommended ventilation rate in summer and the rise of indoor temperature relative to outdoor temperature did not deviate considerably from the cultivation environment of plants. Therefore, it was determined that the greenhouse cultivation in Saemangeum reclaimed land is possible with only natural ventilation systems without cooling facilities. As the reclaimed land is located in the seaside, the wind is stronger than the inland area, and the fog is frequent. This strong wind speed increases the ventilation rate of greenhouses, which is considered to be a factor for reducing the cooling load. In addition, since the fog duration is remarkably longer than that of inland area, the seasonal cooling load is expected to decrease, which is considered to be advantageous in terms of the operation cost of cooling facilities.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.1
• /
• pp.72-77
• /
• 2014

There are two main technologies to implement cloud effect in flight simulator, cloud modeling using particle system and texture mapping. In former case, this approach may cause a low frame rate while unrealistic cloud effect is observed in latter case. To Solve this problem, in this paper, we propose how to apply fog effect into camera to display more realistic cloud effect with high frame rate. The proposed method is tested with massive terrain database environment through implemented software by using OpenSceneGraph. As a result, compared to texture mapping method, the degree of difference on frame rate is 1 or 2Hz while the cloud effect is significantly improved as realistic as particle system.