• Title/Summary/Keyword: 연속화

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Analysis of Lake Water Temperature and Seasonal Stratification in the Han River System from Time-Series of Landsat Images (Landsat 시계열 영상을 이용한 한강 수계 호수 수온과 계절적 성충 현상 분석)

  • Han, Hyang-Sun;Lee, Hoon-Yol
    • Korean Journal of Remote Sensing
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    • v.21 no.4
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    • pp.253-271
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    • 2005
  • We have analyzed surface water temperature and seasonal stratification of lakes in the Han river system using time-series Landsat images and in situ measurement data. Using NASA equation, at-satellite temperature is derived from 29 Landsat-5 TM and Landsat-7 ETM+ images obtained from 1994 to 2004, and was compared with in situ surface temperature on river-type dam lakes such as Paro, Chuncheon, Euiam, Chongpyong, Paldang, and with 10m-depth temperature on lake-type dam lake Soyang. Although the in situ temperature at the time of satellite data acquisition was interpolated from monthly measurements, the number of images with standard deviation of temperature difference (at-satellite temperature - in situ interpolated temperature) less than $2^{\circ}C$ was 24 on which a novel statistical atmospheric correction could be applied. The correlation coefficient at Lake Soyang was 0.915 (0.950 after correction) and 0.951-0.980 (0.979-0.997 after correction) at other lakes. This high correlation implies that there exist a mixed layer in the shallow river-like dam lakes due to physical mixing from continuous influx and efflux, and the daily and hourly temperature change is not fluctuating. At Lake Soyang, an anomalous temperature difference was observed from April to July where at-satellite temperature is $3-5^{\circ}C$ higher than in situ interpolated temperature. Located in the uppermost part of the Han river system and its influx is governed only by natural precipitation, Lake Soyang develops stratification during this time with rising sun elevation and no physical mixture from influx in this relatively dry season of the year.

Enjoyment Methods of Traditional Theater Performances in the Early 20th Century (20세기초 극장무대 전통공연물의 향유방식)

  • Jeong, Choong-Kwon
    • Journal of Korean Classical Literature and Education
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    • no.38
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    • pp.103-138
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    • 2018
  • This study examines the modern succession, transformation and significance of enjoyment methods of classical literature (art) with a focus on the characteristics of those methods that appeared when the performances of the traditional era began to be displayed on the stage of the theaters in modern Seoul. The clues to the reasons for this type of enjoyment can be found in newspapers, magazine articles, and advertisements from the early 20th century. The emergence of stage theaters at the beginning of the modern era caused a sweeping change in the performance environment, including the fact that it was possible for all kinds of people to enjoy art beyond the existing socioeconomic hierarchies or barriers of status, that the performers were given employment through the theater, and that the audience had the tendency of the general public of an unspecified number because the audience was able to see the performances only by paying the viewing fee. The way of enjoying traditional performances also changed based on these new adaptations: the performances were sequential, show-oriented, and re-contextualized as public performances. It is significant that in the traditional era, performers and audiences had been segregated according to their status and a strict hierarchy; now, such cultural norms were breaking down in favor of a kind of equality. In addition, it was possible for the audience to experience sensory enjoyment, and theater brought about a new kind of popular consumer enjoyment of an artistic product. Of course, though, it is possible to look back and find problems related to the contemporary context, but the traditional performances, which were the main performances for the lower class, took the first place on the modern theater stage, and as a result, no one can deny that it became possible to move forward in the first phase of an era of public performance.

Analysis of pollutant characteristics by contamination group in a small watershed (소유역의 오염원그룹별 오염물질 배출특성 분석)

  • Shin, Min Hwan;Lee, Su In;You, Na Young;Jeon, Je Hong;Choi, Joong Dae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.424-424
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    • 2015
  • 본 연구에서는 소유역에서 발생하는 오염물질의 정량화를 위해 오염원 그룹별 발생부하와 배출부하를 분석하고자 하였다. 대상유역은 경기도 가평군 일대이며, 소유역을 8개의 세유역으로 구분하여 발생부하와 배출부하를 산정하였다. 오염원 현황자료는 2012년 전국오염원 조사자료를 기초로 하였으며, 행정구역 단위의 오염원 조사 및 행정구역과 유역의 경계가 일치 하지 않는 경우의 오염원별 점유율은 토지종합정보망(Land Management Information System, LMIS)의 연속지적도 자료를 이용하여 면적비로 산정하였다. 또한 발생원 단위는 실측자료를 우선으로 하되 실측자료가 없는 경우 수질오염총량관리기술지침에서 제시하는 발생원단위를 적용하였다. 대상유역 내에는 산업계, 양식계, 매립계의 오염원은 없었으며, 생활계와 축산계, 토지계 중 축산계의 발생부하량이 BOD, T-N, T-P 모두 가장 높은 것으로 분석되었다. 대상유역의 BOD 발생부하량은 총 891.51kg/day로 산정되었으며, 이 중 축산계가 포함되어 있는 유역의 BOD 발생부하량이 전체의 76.4%에 해당하는 680.70kg/day로 가장 높게 나타났다. 반면, 배출부하량은 생활계, 축산계, 토지계 중 BOD와 T-N은 토지계 배출부하량이 차지하는 비율이 가장 높았으며, T-P의 경우 축산계의 발생부하량이 가장 높은 것으로 나타났다. 유역의 BOD 배출부하량은 총 89.84kg/day로 산정되었으며, 이중 유역 하류에 위치하고 있는 세부 소유역의 BOD 배출부하량이 전체의 30.5%에 해당하는 27.4kg/day로 가장 높게 나타났다. 그러나 총 T-P 발생부하량은 14.12kg/day로 산정되었으며, 축산계가 포함되어 있는 소유역의 T-P 발생부하량은 전체의 64.3%에 해당하는 9.08kg/day로 가장 높았다. 이는 대상유역 내 축산농가의 분뇨가 위탁 처리됨에 따라 발생 부하량에 비해 배출부하량은 상당량 감소하는 것으로 분석되었다. 특히, BOD와 T-N의 경우 축산농가의 영향이 적었지만, T-P의 경우 자연농도가 낮기 때문에 축산농가의 배출부하량이 높은 비중을 차지하는 것으로 판단된다. 그러나 오염원의 정량적인 발생원 규명을 위해서는 오염원 그룹이 포함되어있는 지역에 대하여 장기적인 실측 모니터링 결과를 바탕으로 오염부하를 산정하여 비교?분석하는 연구가 필요할 것으로 판단된다.

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Fast Content-Aware Video Retargeting Algorithm (고속 컨텐츠 인식 동영상 리타겟팅 기법)

  • Park, Dae-Hyun;Kim, Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.77-86
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    • 2013
  • In this paper, we propose a fast video retargeting method which preserves the contents of a video and converts the image size. Since the conventional Seam Carving which is the well-known content-aware image retargeting technique uses the dynamic programming method, the repetitive update procedure of the accumulation energy is absolutely needed to obtain seam. The energy update procedure cannot avoid the processing time delay because of many operations by the image full-searching. By applying the proposed method, frames which have similar features in video are classified into a scene, and the first frame of a scene is resized by the modified Seam Carving where multiple seams are extracted from candidate seams to reduce the repetitive update procedure. After resizing the first frame of a scene, all continuous frames of the same scene are resized with reference to the seam information stored in the previous frame without the calculation of the accumulation energy. Therefore, although the fast processing is possible with reducing complexity and without analyzing all frames of scene, the quality of an image can be analogously maintained with an existing method. The experimental results show that the proposed method can preserve the contents of an image and can be practically applied to retarget the image on real time.

Rainfall Intensity Estimation Using Geostationary Satellite Data Based on Machine Learning: A Case Study in the Korean Peninsula in Summer (정지 궤도 기상 위성을 이용한 기계 학습 기반 강우 강도 추정: 한반도 여름철을 대상으로)

  • Shin, Yeji;Han, Daehyeon;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1405-1423
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    • 2021
  • Precipitation is one of the main factors that affect water and energy cycles, and its estimation plays a very important role in securing water resources and timely responding to water disasters. Satellite-based quantitative precipitation estimation (QPE) has the advantage of covering large areas at high spatiotemporal resolution. In this study, machine learning-based rainfall intensity models were developed using Himawari-8 Advanced Himawari Imager (AHI) water vapor channel (6.7 ㎛), infrared channel (10.8 ㎛), and weather radar Column Max (CMAX) composite data based on random forest (RF). The target variables were weather radar reflectivity (dBZ) and rainfall intensity (mm/hr) converted by the Z-R relationship. The results showed that the model which learned CMAX reflectivity produced the Critical Success Index (CSI) of 0.34 and the Mean-Absolute-Error (MAE) of 4.82 mm/hr. When compared to the GeoKompsat-2 and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN)-Cloud Classification System (CCS) rainfall intensity products, the accuracies improved by 21.73% and 10.81% for CSI, and 31.33% and 23.49% for MAE, respectively. The spatial distribution of the estimated rainfall intensity was much more similar to the radar data than the existing products.

Exploring the Foreign Students' Learning Experiences in Natural Science Basic Course at College of Engineering in Korea (국내 이공계 대학 유학생들의 전공기초 학습 경험 탐색)

  • Kim, Soo-Cheol
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.2
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    • pp.259-269
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    • 2019
  • The main purpose of this study is to explore the foreign students' learning experiences in natural science basic course at college of engineering in Korea. The subjects were 7 but 4 students took part in the semi-structured interview. All of the interviews were recorded, and the recorded material was transferred and kept. The transcripts were analyzed in a qualitative method. The researchers answered the questionnaire to 7 foreign students who voluntarily participated in the study, and 4 in-depth interviews were also conducted. The interview took 30 minutes to 1 hour, and semi - structured interviewing technique was used. The contents of the interviews were all recorded with the consent of the participants, and the recorded materials were transferred and managed with the interview notes. The transferred data were analyzed based on the coding and categorization process according to the step of the continuous comparison method. The results of this study is the following. There are four themes; problems due to lack of Korean language ability when taking basic courses; problems of terms and concept understanding in major courses; supplementary learning methods of basic courses; necessity of natural science basic education program and requirement of support of the university.

Optimization of MOF-801 Synthesis Using Sequential Design of Experiments (순차적 실험계획법을 이용한 MOF-801 합성공정 최적화)

  • Lee, Min Hyung;Yoo, Kye Sang
    • Applied Chemistry for Engineering
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    • v.32 no.6
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    • pp.621-626
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    • 2021
  • A sequential design of experiments was used to optimize MOF-801 synthesis process. For the initial screening, a general 2k factorial design was selected followed by the central composition design, one of the response surface methods. A 23 factorial design based on the molar ratio of fumaric acid, dimethylformamide (DMF), and formic acid was performed to select the more suitable response variable for the design of experimental method among the crystallinity and BET specific surface area of MOF-801. After performing 8 synthesis experiments designed by MINITAB 19 software, the characteristic analysis was performed using XRD analysis and nitrogen adsorption method. The crystallinity with R2 = 0.999 was found to be more suitable for the experimental method than that of BET specific surface area. Based on analysis of variance (ANOVA), it was confirmed that the molar ratio of fumaric acid and formic acid was a major factor in determining the crystallinity of MOF-801. Through the response optimization and contour plot of two factors, the optimal molar ratio of ZrOCl2·8H2O : fumaric acid : DMF : formic acid was 1 : 1 : 39 : 35. In order to optimize the synthesis process, the central composition design on synthesis time and temperature was performed under the identical molar ratio of precursors. The results derived through the designed 9 synthesis experiments were calculated using the quadratic model equation. Thus, the maximum crystallinity of MOF-801 predicted under the synthesis time and temperature of 7.8 h and 123 ℃, respectively.

Design and Evaluation of a High-performance Key-value Storage for Industrial IoT Environments (산업용 IoT 환경을 위한 고성능 키-값 저장소의 설계 및 평가)

  • Han, Hyuck
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.127-133
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    • 2021
  • In industrial IoT environments, sensors generate data for their detection targets and deliver the data to IoT gateways. Therefore, managing large amounts of real-time sensor data is an essential feature for IoT gateways, and key-value storage engines are widely used to manage these sensor data. However, key-value storage engines used in IoT gateways do not take into account the characteristics of sensor data generated in industrial IoT environments, and this limits the performance of key-value storage engines. In this paper, we optimize the key-value storage engine by utilizing the features of sensor data in industrial IoT environments. The proposed optimization technique is to analyze the key, which is the input of a key-value storage engine, for further indexing. This reduces excessive write amplification and improves performance. We implement our optimization scheme in LevelDB and use the workload of the TPCx-IoT benchmark to evaluate our proposed scheme. From experimental results we show that our proposed technique achieves up to 21 times better than the existing scheme, and this shows that the proposed technique can perform high-speed data ingestion in industrial IoT environments.

Evaluation of the future agricultural drought severity of South Korea by using reservoir drought index (RDI) and climate change scenarios (저수지 가뭄지수와 기후변화 시나리오를 이용한 우리나라 미래 농업가뭄 평가)

  • Kim, Jin Uk;Lee, Ji Wan;Kim, Seong Joon
    • Journal of Korea Water Resources Association
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    • v.52 no.6
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    • pp.381-395
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    • 2019
  • The purpose of this study is to predict agricultural reservoir storage rate (RSR) in a month. This algorithm was developed by multiple linear regression model (MLRM) which included the past 3 months RSRs data and the future climate change scenarios. In order to improve use of predicted RSR, this study need the severe criteria in terms of drought. So, the predicted RSR was indexed as the 3 months reservoir drought index (RDI3) and then it was disaggregated into drought duration, severity, and intensity. For the future RSR estimation by climate change scenarios, the 6 RCP 8.5 scenarios of HadGEM2-ES, CESM1-BGC, MPI-ESM-MR, INM-CM4, FGOALS-s2, and HadGEM3-RA were used in three future evaluation periods (S1: 2011~2040, S2: 2041~2070, S3: 2071~2099). The future S3 period of HadGEM2-ES scenario which has the biggest increase in precipitation and temperature showed the largest decrease to 60.2% among the 6 scenarios compared to the historical RSR (1976~2005) 77.3%. In contrast, INM-CM4 scenario which has smallest changes in precipitation and temperature in S3 period showed the smallest decrease to 72.8%. For the CESM1-BGC and MPI-ESM-MR, FGOALS-s2, and HadGEM3-RA, the S3 period RSR showed 72.6%, 72.6%, 67.4%, and 64.5% decrease respectively. The future severe drought condition of RDI3 below -0.25 showed the increase trend for the number and severity up to -2.0 during S3 period.

An Experimental Study on the Structural Performance of Lateral Resistance in Steel Elevator Pit (강재엘리베이터 피트 측압저항 구조성능에 관한 실험적 연구)

  • Hong, Seong-Uk;Kim, Tae-Soo;Baek, Ki-Youl
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.3
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    • pp.1-8
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    • 2019
  • Steel elevator pit was developed for the purpose of minimizing the excavation, simplifying the construction of the frame and economical efficiency by improving the problems that occurred in the existing reinforced concrete. It is common to apply conventional RC method through excavation to underground structures such as underground floor collector well and elevator pit. In recent years, the use of steel collector well and steel elevator pits to reduce construction costs by minimizing the materials of steel and concrete has been continuously increasing. The steel elevator pit is an underground structure and then the performance of the welding part and the structure system is important. Specimen with only steel plate and concrete without studs could support the load more than 3 times than the specimen with deck only. Therefore, even if there is no stud, the deck (steel plate) rib is formed and the effect of restraining the steel plate and the concrete during the bending action can be expected. However, since sudden fracture in the elevator pit may occur, stud bolt arrangement is necessary for the composite effect of steel plate and concrete. It is expected that the bending strength can be expected to increase by about 15% or more depending with and without stud bolts.