• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.5
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• pp.168-176
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• 2014

Detecting moving objects from a video sequence is a fundamental and critical task in video surveillance, traffic monitoring and analysis, and human detection and tracking. It is very difficult to detect moving objects in a video sequence degraded by the environmental factor such as fog. In particular, the color of an object become similar to the neighbor and it reduces the saturation, thus making it very difficult to distinguish the object from the background. For such a reason, it is shown that the performance and reliability of object detection and tracking are poor in the foggy weather. In this paper, we propose a novel method to improve the performance of object detection, combining a haze removal algorithm and a local histogram-based object tracking method. For the quantitative evaluation of the proposed system, information retrieval measurements, recall and precision, are used to quantify how well the performance is improved before and after the haze removal. As a result, the visibility of the image is enhanced and the performance of objects detection is improved.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.163-170
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• 2013

In general, images of outdoor scenes often contain degradation due to dust, water drop, haze, fog, smoke and so on, as a result they cause the contrast reduction and color fading. Haze removal is not easier problem due to the inherent ambiguity between the haze and the underlying scene. So, we propose a novel method to solve single scene dehazing problem using the region segmentation based on graph algorithm that has used a gradient value as a cost function. We segment the scene into different regions according to depth-related information and then estimate the global atmospheric light. The medium transmission can be directly estimated by the threshold function of graph-based segmentation algorithm. After estimating the medium transmission, we can restore the haze-free scene. We evaluated the degree of the visibility restoration between the proposed method and the existing methods by calculating the gradient of the edge between the restored scene and the original scene. Results on a variety of outdoor haze scene demonstrated the powerful haze removal and enhanced image quality of the proposed method.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.1015-1025
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• 2017

Bayesian personalized ranking (BPR) is a state-of-the-art recommendation system techniques for implicit feedback data. Unfortunately, there might be a loss of information because the BPR model considers only the binary transformation of implicit feedback that is non-binary data in most cases. We propose a modified BPR method using a level of confidence based on the size or strength of implicit feedback to overcome this limitation. The proposed method is useful because it still has a structure of interpretable models for underlying personalized ranking i.e., personal pairwise preferences as in the BPR and that it is capable to reflect a numerical size or the strength of implicit feedback. We propose a computation algorithm based on stochastic gradient descent for the numerical implementation of our proposal. Furthermore, we also show the usefulness of our proposed method compared to ordinary BPR via an analysis of steam video games data.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2004.11a
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• pp.185-187
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• 2004

인천국제공항 건설후 안개 발생과 관련한 국지 기상의 변화를 살펴보고자 하였다. 먼저 온도의 시계열 변화를 살펴 보았을 때 건설 전과 대비해 건설 후에 약 $2^{\circ}C$ 정도의 온도 상승효과가 나타났으며 지표면이 Urban일 경우 주간에 가장 온도가 높고 야간에 온도가 가장 낮게 나타났다.

• Korean Journal of Weed Science
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• v.15 no.4
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• pp.270-277
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• 1995

The research was carried out in tray in greenhouse equipped with Auto Foggy Systems(SAE KI RIN Co.) and the results were summarized as follows. 1. The number of leaves and fresh weight of Chinese cabbage were not different, but the plant height was increased due to foggy condition. 2. Plant height was decreased in 40 and 60 days of weed competition by foggy condition, the number of leaves was not different. And, shoot fresh weight was decreased by in all the duration of weed competition under foggy condition. Especially, that was greater in 40 days. 3. The shoot fresh weight was decreased by pendimethaline and napropamide application under foggy condition. Also, the number of leaves was decreased at 60 days after transplanting by pendimethaline application under foggy condition. 4. Pendimethalin, napropamide and alachlor treatments were not different in the weeding efficacy between non-foggy and foggy conditions. Trifluraline showed lower weeding efficacy by seedling emergence of large crabgrass as the days of treatment got longer under foggy condition.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.176-178
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• 2016

Single image를 사용하여 안개양을 측정하는 방법으로는 소실점, 지평선의 local contrast를 측정하는 방법과 DCP의 빛 전 달양을 사용하는 방법이 있다. 하지만 local contrast를 사용하는 방법은 특정한 환경에서만 사용이 가능하고 DCP는 대기의 color와 비슷한 color를 가진 물체들이 많을 경우 사용하기 어렵다는 한계가 있다. 그래서 본 논문은 영상의 빛 전달양과 Local Contrast를 사용하여 다양한 contents를 가진 single image에서 안개양을 수치화하는 새로운 방법을 제시한다. 제시하는 방법은 DCP로부터 측정한 빛 전달량으로부터 안개일 가능성이 있는 빛 전달량 지역의 면적과 해당 지역에서의 Local contrast의 분포 정도를 측정하여 DoF를 계산한다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.41 no.1
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• pp.20-27
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• 1996

Greenhouse experiment was carried out to investigate the specifics in growth, weed competition, and herbicide response of soybean(Glycine max) under foggy condition. Plant height and leaf stage of soybean under foggy condition were greatly increased through all growing stage comparing with non-foggy condition. At 100 days after seeding, plant height of soybean also was increased by 14％ while number of pods, number of grains per pod were reduced by 16, 24 and 23％, respectively comparing with non-foggy condition. On the other hand, plant height of soybean under foggy condition was reduced with increasing the duration of competition and this tendency was similar to non-foggy condition. Plant height was reduced by above 50-day competition. Number of pods per plant of soybean was reduced regardless of foggy condition. Among the herbicides treated, quizalofop caused slightly crop injury under foggy condition, but the other herbicides did not affect growth of soybean. Number of pods and 100-grain weight of soybean by treatment of herbicides were similar to that of the untreated control but those of soybean under foggy condition were significantly reduced. At 40 days after herbicide application, weeding efficacy (based on shoot fresh weight) of herbicides treated under foggy and non-foggy condition, released exellent data(above than 97％) in all regardless foggy condition.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.256-267
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• 2015

The intelligent transportation systems allow us to have valuable opportunities for collecting wide-area coverage traffic data. The significant efforts have been made in many countries to provide the reliable traffic conditions information such as travel time. This study analyzes the impacts of the fog weather conditions on the traffic stream. Also, a strategy for predicting the long-term traffic speeds is developed under foggy weather conditions. The results show that the average of speed reductions are 2.92kph and 5.36kph under the slight and heavy fog respectively. The best prediction performance is achieved when the previous 45 pattern cases data is used, and the 14.11% of mean absolute percentage error(MAPE) is obtained. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

• Journal of Conservation Science
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• v.32 no.4
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• pp.491-500
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• 2016

Fog is atmospheric in which tiny drops of water vapor are suspended in the air near the ground. Its form, occurrence, etc., change according to the temperature, relative humidity, wind and geographical features of the space around it. In particular, fog tends to occur near a source of water because of temperature and relative humidity difference. These days, climate change is increasingly affecting the occurrence of fog. Therefore the purpose of this study was to investigate how fog affects materials that are part of our cultural properties through outdoor exposure tests and artificial degradation. The degradation evaluation of materials as a function of fog occurrence frequency, showed that the color of metals changed noticeably, whereas dyed silk and Dancheong showed degradation on the surface and color differences but no particular tendencies. Therefore, damage prediction by color differences as a function of fog occurrence frequency was based on metal samples, which showed constant color differences. Through a comparison of the predictive value and color difference by outdoor exposure, the accuracy and applicability of the damage prediction formula was confirmed. If a more complex damage prediction formula is created, it is expected that prediction of the degree of material damage in the field would be possible.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.26 no.3
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• pp.254-264
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• 1990

Using the meteorological data, surface weather map, and oceanographic data for 5 years(1984-1988). I investigated the characteristics of the fog occurrence and the role of the inshore in Pusan about the fog occurrence. And the meteorological data and sea surface temperature(SST), which were observed in July, 1989 in Suyoung Bay, were compared with those in Pusan. The fogs in Pusan concentrate in May, June and July. And at fog occurrence time the principal wind directions are Southwest(SW) winds, which easily supply with water vapor, and a series of Northeast(NE) wind. At the fog days pressure patterns are pattern 7 in spring time (March, April, and May) and pattern 10 and pattern 13 in summer time (June, July, and August). Also the advection fog(sea fog) is closely related with the relationship between warm and cold advection in 850~700mb and cold and warm SST rather than the increase of the instability of atmosphere in 850~500mb. The fogs in Taegu, which is the inland region, mainly occur at dawn in fall time due to the strong night radiation fog. On the other hand in Pusan the coastal region, the fogs occur from late spring time to summer time (May, June, and July). Because there is the abundant supply of the water vapor from the ocean owing to a series of South(S) wind at this time. Then the atmosphere, which has high relative humidity, reaches easily the supersaturation by the radiation cooling. In Suyoung Bay and Pusan the meteorological observation data, SST and fog days are almost similar. And I think that the mechanism of the fog occurrence nearly accords with both regions.