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A Study on the Temperature Change of Green House using Aerogel (에어로젤을 사용한 시설하우스의 온도 변화에 대한 연구)

  • Yang, Ji-Ung;Lee, Eun-Suk;Ko, Joon-Young;Kim, Won-Kyung;Byun, Jae-Young;Park, Jin-Gyu;Choi, Won-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.1067-1074
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    • 2020
  • Green houses provide a more conditioned and warmer environment than the outside environment due to insulation. Currently used insulation materials include soft film (PVC, PE, EVA), foamed PE sheet, non-woven fabric, reflective film, and multi-layer insulation curtain, but there are many disadvantages and to compensate for this, silica aerogel insulation material with excellent warmth, light weight, and small volume Research using is in progress. In this study, the temperature change of the quadruple-structure green house and the temperature change in the dual-structure green house of soft film and silica airgel were investigated. The daytime temperature change was highest in A and A2 (soft film) at 10 to 16:00 after sunrise, but showed the lowest temperature at 17 to 18:00, which is the sunset time, showing the greatest change. The airgels of D and D2 showed the smallest change in temperature after sunrise and right after sunset. That is, it can be said that the airgel is hardly affected by external temperature. The temperature change at night was highest in D and D2 (aerogel) for both quadruple and dual structures. The temperature at night was measured higher in the quadruple structure than in the double structure. As for the ratio of the internal temperature to the external temperature for the quadruple structure and the double structure, D (aerogel) was not affected by the external temperature during the day in the quadruple structure and the double structure. D (Aerogel) seems to be able to reduce the damage caused by high temperatures in summer due to the high thermal insulation effect of the airgel, as the temperature rises above 4℃ at night. And in winter, it helps to save heating costs due to less heat emitted to the outside.

Analysis of Seasonal Importance of Construction Hazards Using Text Mining (텍스트마이닝을 이용한 건설공사 위험요소의 계절별 중요도 분석)

  • Park, Kichang;Kim, Hyoungkwan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.3
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    • pp.305-316
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    • 2021
  • Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.

Comparison of the spatial-temporal distributions of the heterotrophic dinoflagellates Gyrodinium dominans, G. jinhaense, and G. moestrupii in Korean coastal waters

  • Lee, Sung Yeon;Jeong, Hae Jin;Kang, Hee Chang;Ok, Jin Hee;You, Ji Hyun;Park, Sang Ah;Eom, Se Hee
    • ALGAE
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    • v.36 no.1
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    • pp.37-50
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    • 2021
  • Heterotrophic dinoflagellates Gyrodinium spp. are one of the major grazers of phytoplankton in many coastal waters. Gyrodinium dominans, G. jinhaense, and G. moestrupii have similar morphologies but different edible prey species. To explore the variations in the ecological niches of these three species, we investigated their spatial-temporal distributions in Korean waters. Because of the high similarity in morphology among these three Gyrodinium species, we used real-time polymerase chain reactions to quantify their abundance in water samples that were seasonally collected from 28 stations along the Korean Peninsula from April 2015 to October 2018. Cells of G. dominans were found at all sampling stations, G. jinhaense at 26 stations, and G. moestrupii at 22 stations, indicating that all three species were widely distributed in Korea. Furthermore, all three species displayed strong seasonal distributions. The largest numbers of the stations where G. dominans and G. jinhaense cells were present were found during the summer (26 and 23 stations, respectively), but that for G. moestrupii was found in the autumn (15 stations). The abundance of G. dominans was positively correlated with that of G. jinhaense, but not with that of G. moestrupii. The highest abundances of G. dominans (202.5 cells mL-1) and G. jinhaense (20.2 cells mL-1) were much greater than that of G. moestrupii (1.2 cells mL-1). The highest abundances of G. dominans and G. jinhaense were found in July, whereas that of G. moestrupii was found in March. The abundances of G. dominans and G. jinhaense, but not G. moestrupii, were positively correlated with water temperature. Therefore, the spatial-temporal distributions of G. dominans and G. jinhaense were closer than those of G. moestrupii and G. dominans or G. jinhaense. This differs from results based on the relative differences in ribosomal DNA sequences and the types of edible prey reported in the literature. Thus, the variations in spatial-temporal distributions and prey species of these three Gyrodinium species suggest that they may have different ecological niches in Korean coastal waters.

Estimation of Significant Wave Heights from X-Band Radar Based on ANN Using CNN Rainfall Classifier (CNN 강우여부 분류기를 적용한 ANN 기반 X-Band 레이다 유의파고 보정)

  • Kim, Heeyeon;Ahn, Kyungmo;Oh, Chanyeong
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.3
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    • pp.101-109
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    • 2021
  • Wave observations using a marine X-band radar are conducted by analyzing the backscattered radar signal from sea surfaces. Wave parameters are extracted using Modulation Transfer Function obtained from 3D wave number and frequency spectra which are calculated by 3D FFT of time series of sea surface images (42 images per minute). The accuracy of estimation of the significant wave height is, therefore, critically dependent on the quality of radar images. Wave observations during Typhoon Maysak and Haishen in the summer of 2020 show large errors in the estimation of the significant wave heights. It is because of the deteriorated radar images due to raindrops falling on the sea surface. This paper presents the algorithm developed to increase the accuracy of wave heights estimation from radar images by adopting convolution neural network(CNN) which automatically classify radar images into rain and non-rain cases. Then, an algorithm for deriving the Hs is proposed by creating different ANN models and selectively applying them according to the rain or non-rain cases. The developed algorithm applied to heavy rain cases during typhoons and showed critically improved results.

Film Production Using Artificial Intelligence with a Focus on Visual Effects (인공지능을 이용한 영화제작 : 시각효과를 중심으로)

  • Yoo, Tae-Kyung
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.1
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    • pp.53-62
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    • 2021
  • After the first to present projected moving pictures to audiences, the film industry has been reshaping along with technological advancements. Through the full-scale introduction of visual effects-oriented post-production and digital technologies in the film-making process, the film industry has not only undergone significant changes in the production, but is also embracing the cutting edge technologies broadly and expanding the scope of industry. Not long after the change to digital cinema, the concept of artificial intelligence, first known at the Dartmouth summer research project in 1956, before the digitalization of film, is expected to bring about a big transformation in the film industry once again. Large volume of clear digital data from digital film-making makes easy to apply recent artificial intelligence technologies represented by machine learning and deep learning. The use of artificial intelligence techniques is prominent around major visual effects studios due to automate many laborious, time-consuming tasks currently performed by artists. This study aims to predict how artificial intelligence technology will change the film industry in the future through analysis of visual effects production cases using artificial intelligence technology as a production tool and to discuss the industrial potential of artificial intelligence as visual effects technology.

Quantitative analysis of drought propagation probabilities combining Bayesian networks and copula function (베이지안 네트워크와 코플라 함수의 결합을 통한 가뭄전이 발생확률의 정량적 분석)

  • Shin, Ji Yae;Ryu, Jae Hee;Kwon, Hyun-Han;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.54 no.7
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    • pp.523-534
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    • 2021
  • Meteorological drought originates from a precipitation deficiency and propagates to agricultural and hydrological droughts through the hydrological cycle. Comparing with the meteorological drought, agricultural and hydrological droughts have more direct impacts on human society. Thus, understanding how meteorological drought evolves to agricultural and hydrological droughts is necessary for efficient drought preparedness and response. In this study, meteorological and hydrological droughts were defined based on the observed precipitation and the synthesized streamflow by the land surface model. The Bayesian network model was applied for probabilistic analysis of the propagation relationship between meteorological and hydrological droughts. The copula function was used to estimate the joint probability in the Bayesian network. The results indicated that the propagation probabilities from the moderate and extreme meteorological droughts were ranged from 0.41 to 0.63 and from 0.83 to 0.98, respectively. In addition, the propagation probabilities were highest in autumn (0.71 ~ 0.89) and lowest in winter (0.41 ~ 0.62). The propagation probability increases as the meteorological drought evolved from summer to autumn, and the severe hydrological drought could be prevented by appropriate mitigation during that time.

Validation of Satellite Altimeter-Observed Significant Wave Height in the North Pacific and North Atlantic Ocean (1992-2016) (북태평양과 북대서양에서의 위성 고도계 관측 유의파고 검증 (1992-2016))

  • Hye-Jin Woo;Kyung-Ae Park
    • Journal of the Korean earth science society
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    • v.44 no.2
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    • pp.135-147
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    • 2023
  • Satellite-observed significant wave heights (SWHs), which are widely used to understand the response of the ocean to climate change, require long-term and continuous validation. This study examines the accuracy and error characteristics of SWH observed by nine satellite altimeters in the North Pacific and North Atlantic Ocean for 25 years (1992-2016). A total of 137,929 matchups were generated to compare altimeter-observed SWH and in-situ measurements. The altimeter SWH showed a bias of 0.03 m and a root mean square error (RMSE) of 0.27 m, indicating relatively high accuracy in the North Pacific and North Atlantic Ocean. However, the spatial distribution of altimeter SWH errors showed notable differences. To better understand the error characteristics of altimeter-observed SWH, errors were analyzed with respect to in-situ SWH, time, latitude, and distance from the coast. Overestimation of SWH was observed in most satellite altimeters when in-situ SWH was low, while underestimation was observed when in-situ SWH was high. The errors of altimeter-observed SWH varied seasonally, with an increase during winter and a decrease during summer, and the variability of errors increased at higher latitudes. The RMSEs showed high accuracy of less than 0.3 m in the open ocean more than 100 km from the coast, while errors significantly increased to more than 0.5 m in coastal regions less than 15 km. These findings underscore the need for caution when analyzing the spatio-temporal variability of SWH in the global and regional oceans using satellite altimeter data.

Scavenging Efficiency Based on Long-Term Characteristics of Precipitation and Particulate Matters in Seoul, Korea (서울지역 장기간 강수와 미세먼지의 특성 분석에 기반한 미세먼지 세정효과)

  • Suji Han;Junshik Um
    • Atmosphere
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    • v.33 no.4
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    • pp.367-385
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    • 2023
  • The variabilities of precipitation and particulate matters (i.e., PM10 and PM2.5) and the scavenging efficiency of PMs by precipitation were quantified using long-term measurements in Seoul, Korea. The 21 years (2001~2021) measurements of precipitation and PM10 mass concentrations, and the 7 years (2015~2021) of PM2.5 mass concentrations were used. Statistical analysis was performed for each period (i.e., year, season, and month) to identify the long-term variabilities of PMs and precipitation. PM10 and PM2.5 decreased annually and the decreasing rate of PM10 was greater than PM2.5. The precipitation intensity did not show notable variation, whereas the annual precipitation amount showed a decreasing trend. The summer precipitation amount contributed 61.10% to the annual precipitation amount. The scavenging efficiency by precipitation was analyzed based on precipitation events separated by 2-hour time intervals between hourly precipitation data for 7 years. The scavenging efficiencies of PM10 and PM2.5 were quantified as a function of precipitation characteristics (i.e., precipitation intensity, amount, and duration). The calculated average scavenging efficiency of PM10 (PM2.5) was 39.59% (35.51%). PM10 and PM2.5 were not always simultaneously scavenged due to precipitation events. Precipitation events that simultaneously scavenged PM10 and PM2.5 contributed 42.24% of all events, with average scavenging efficiency of 42.93% and 43.39%. The precipitation characteristics (i.e., precipitation intensity, precipitation amount, and precipitation duration) quantified in these events were 2.42 mm hr-1, 15.44 mm, and 5.51 hours. This result corresponds to 145% (349%; 224%) of precipitation intensity (amount; duration) for the precipitation events that do not simultaneously scavenge PM10 and PM2.5.

Study of the Mitigation of Algae in Lake Uiam according to the Operation of the Chuncheon Dam and the Soyang Dam (춘천댐 및 소양강댐 운영에 따른 의암호 조류 저감 연구)

  • Lee, Dong Yeol;Baek, Kyong Oh
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.171-179
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    • 2022
  • In this study, the characteristics of algae mitigation according to dam operation were quantitatively analyzed for Uiam Lake, where the Chuncheon Dam is located upstream of the main stream, Uiam Dam is located downstream, and Soyang Dam is located in the tributary stream. Nine dam operation scenarios were applied to the event of the summer of 2018 (at that time an algae alert occurred) using the EFDC model, which is capable of calculating three-dimensional hydrodynamics and water quality levels such as those associated with chlorophyll-a. The dam operation scenarios were set to generate a flushing effect via discharges in the form of pulse waves from the upstream dams and by lowering the water level at the downstream dam. At Uiam Lake, the flushing effect was different depending on the operation of the dam, and the amount of algae reduction at each point was different owing to topographic characteristics and the different base water temperatures from BukHan River and Soyang River. With regard to a point located on the left bank, it was predicted that the peak level of chlorophyll-a would be reduced by approximately 50 % or more upon pulsed discharge at 50 m3/s for three days at Soyang Dam. However, for the right bank, the amount of discharge from Soyang Dam had little effect on algae mitigation. Therefore, an appropriate dam operation could be effective for algae mitigation at specific points in the water body where large dams exist upstream and downstream, such as at Uiam Lake, in an emergency situation in which algal blooms rapidly.

Cultivation of millet in Mahan-Baekje Villages: Archaeobotanical examination of Osan site, Jangheung, Korea (전남 마한백제계 취락의 서속(黍粟) 재배와 농경 체계: 장흥 봉림리 오산유적 자료를 중심으로)

  • RYU Ara;KIM Sebin;OH Byungwook;KIM Minkoo
    • Korean Journal of Heritage: History & Science
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    • v.56 no.2
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    • pp.48-60
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    • 2023
  • Although foxtail and broomcorn millet have been cultivated since the Neolithic Age on the Korean Peninsula, there have been few studies on how the importance of millet cultivation changed over time. The discovery of millet has been rare in the Mahan-Baekje villages in the Jeonnam region, and archaeological discussions on ancient farming have centered around rice farming. However, a large amount of millet was found at the Osan site in Bongrim-ri, Jangheung, showing that the tradition of millet cultivation continued during the AD 3-4 centuries. In contrast to rice farming, which requires low-lying wetlands, hot and humid summers, and a large labor force, millet cultivation has few restrictions in terms of growing environment and labor mobilization. Regarding harvesting seasons, the crops at the Osan site can be divided into fall harvesting (rice, legumes, millet) and summer harvesting (wheat). Regarding field locations, the crops are divided into wetland crops (rice) and dryland crops (wheat, legumes, millet). The operation of the dual agricultural system contributed to subsistence resilience and agricultural production, making it possible to effectively manage social and climatic crises.