• 제목/요약/키워드: Missing Value

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A Monistic Design Thought and Method (전일적 디자인사고와 디자인방법에 대한 연구)

  • 이순종
    • Archives of design research
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    • 제17권2호
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    • pp.479-486
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    • 2004
  • We need to seek after new direction and order of design that puts more value on the spirits and culture of human beings in the 21st century, creating a new, all-inclusive value in which individual human being, the society and the environment can co-exist in a peaceful relationship by overcoming the materialistic, analytical, competitive, and differentiated values of traditional industrial society. The aim of this study, then, is to present a new method of design that can meet the demands of the 21st century in a civic age of information, knowledge and culture, by focusing on Monistic ideals derived from a deeply rooted Oriental philosophy. The concept of Monism is embodied by a mind set that treasures the benefit to others over rewards to the self, puts more importance on the spiritual life hidden behind physical phenomena, thinks more of what lacks than what exceeds, elevates the mind over the body, and seeks after beauty via a total harmony of balance and development that can be feasible only by combining all these elements. Ultimately, the new design principle based on the Monism consists of three basic elements: (1) identification of the subject and the object between things under the perception that all things are one (Unification); (2) the ability that helps things exist with appropriate beauty maintaining balance and stability (Harmony); and (3) the attitude of sharing to maintain sustainable vitality by filling up what lacks or is missing in a whole(Change).

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Evaluation of the Utility of SSG Algorithm for Image Restoration of Landsat-8 (Landsat 8호 영상 복원을 위한 SSG 기법 활용성 평가)

  • Lee, Mi Hee;Lee, Dalgeun;Yu, Jung Hum;Kim, Jinyoung
    • Korean Journal of Remote Sensing
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    • 제36권5_4호
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    • pp.1231-1244
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    • 2020
  • Landsat satellites are representative optical satellites that have observed the Earth's surface for a long-term, and are suitable for long-term changes such as disaster preparedness/recovery monitoring, land use change, change detection, and time series monitoring. In this paper, clouds and cloud shadows were detected using QA bands to detect and remove clouds simply and efficiently. Then, the missing area of the experimantal image is restorated through the SSG algorithm, which does not directly refer to the pixel value of the reference image, but performs restoration to the pixel value in the Experimental image. Through this study, we presented the possibility of utilizing the modified SSG algorithm by quantitatively and qualitatively evaluating information on variousl and cover conditions in the thermal wavelength band as well as the visible wavelength band observing the surface.

Swimming Motion of Flagellated Bacteria Under Low Shear Flow Conditions (느린 전단흐름에서 편모운동에 의한 대장균의 거동 특성)

  • Ahn, Yong-Tae;Shin, Hang-Sik
    • Journal of Korean Society of Environmental Engineers
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    • 제33권3호
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    • pp.191-195
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    • 2011
  • The measurement and prediction of bacterial transport of bacteria in aquatic systems is of fundamental importance to a variety of fields such as groundwater bioremediation ascending urinary tract infection. The motility of pathogenic bacteria is, however, often missing when considering pathogen translocation prediction. Previously, it was reported that flagellated E. coli can translate upstream under low shear flow conditions. The upstream swimming of flagellated microorganisms depends on hydrodynamic interaction between cell body and surrounding fluid flow. In this study, we used a breathable microfluidic device to image swimming E. coli at a glass surface under low shear flow condition. The tendency of upstream swimming motion was expressed in terms of 'A' value in parabolic equation ($y=Ax^2+Bx+C$). It was observed that high shear flow rate increased the 'A' value as the shear force acting on bacterium increased. Shorter bacterium turned more tightly into the flow as they swim faster and experience less drag force. The result obtained in this study might be relevant in studying the fate and transport of bacterium under low shear flow environment such as irrigation pipe, water distribution system, and urethral catheter.

Meteorological Data Measured under Agrivoltaic Systems in Boseong-gun during Winter Barley Season (영농형 태양광 시설 하부의 미기상 관측 자료: 보성에서 2019년 11월부터 2020년 5월까지 가을보리 재배기간 동안)

  • Cho, Yuna;Yoon, Changyong;Kim, Hyunki;Moon, Hyundong;An, Kyu-Nam;Cho, Jaeil
    • Korean Journal of Agricultural and Forest Meteorology
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    • 제22권3호
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    • pp.144-151
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    • 2020
  • Agrivoltaic systems (AVS) is defined as combining farm-grown crops with photovoltaic panels (PV) installed several meters above the ground. Solar radiation (W/㎡), photosynthetic photon flux density (PPFD, µmol/㎡/s), air temperature (℃), vapor pressure (kPa), soil moisture (㎥/㎥), soil temperature (℃), wind direction (˚), and wind speed (m/s) were measured under the AVS in Boseong-gun during winter barley season. Data was collected by 5 minute interval. All data can download at Github site (https://github.com/chojaeil/AVS_Boseung). To gap-filling missing solar radiation data during about two weeks, the conversion coefficient from solar radiation to PPFD was estimated as 0.41. Further, according to the ratio of diffuse radiation to direct radiation, the maximum value among the twenty PPFD sensors under the AVS was related to the PPFD value of filed.

A Study on the Current Practice in Eco-Industrial Development (자원 순환형 산업개발의 유형 연구)

  • Moon, Seogwoong
    • Environmental and Resource Economics Review
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    • 제12권2호
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    • pp.347-382
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    • 2003
  • The paper presents available options that Korea can adopt in an effort to promote eco-industrial development in a near future. What is missing and the reasons why Korea is behind the other countries in the area are: 1) Lack of holistic view and the integrated approach toward economy and environment in policy implementation, 2) Lack of understanding, among entrepreneurs, of the concept of productivity per input resource, and the fact that not only labor and capital productivity but also the total productivity enhancement is vital for industry's competitive edge; There has been no driving force in the market to develop economies of system integration to turn industrial wastes to valuable input resources, 3) Unsupportive regulatory system regarding the trade of by products, and 4) Lack of financing and incentive mechanism. 5) Lack of information forum. Regulatory reform should be taken for the direction that in effect increase the price of disposal and motivate firms to seek symbiotic relationship with other firms, and facilitate trade by-product between firms. Financing and incentive mechanism should be introduced in order for the industry to find easy access to the opportunities for organizing the network to transform wastes in negative value to the value added resources. Also information network should be established to provide a market for by-product exchange and public education to improve industry's environmental performance.

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A study on Improved De-Interlacing Applying Newton Difference Interpolation (Newton 차분법을 이용한 개선된 디인터레이싱 연구)

  • Baek, Kyunghoon
    • The Journal of the Convergence on Culture Technology
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    • 제6권1호
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    • pp.449-454
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    • 2020
  • We propose an improved de-interlacing method that converts the interlaced images into the progressive images by one field. In the first, Inter-pixel values are calculated by applying Newton's forward difference, backward difference interpolation from upper and lower 5 pixel values. Using inter-pixel values obtained from upper and lower 5 pixel values, it makes more accurate a direction estimate by applying the correlation between upper and lower pixel. If an edge direction is determined from the correlation, a missing pixel value is calculated into the average of upper and lower pixel obtained from predicted direction of edge. From simulation results, it is shown that the proposed method improves subjective image quality at edge region and objective image quality at 0.2~0.3dB as quantitative calculation result of PSNR, compared to previous various de-interlacing methods.

A Study on LSTM-based water level prediction model and suitability evaluation (LSTM 기반 배수지 수위 변화 예측모델과 적합성 평가 연구)

  • Lee, Eunji;Park, Hyungwook;Kim, Eunju
    • Smart Media Journal
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    • 제11권5호
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    • pp.56-62
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    • 2022
  • Water reservoir is defined as a storage space to hold and supply filtered water and it's significantly important to manage water level in the water reservoir so as to stabilize water supply by controlling water supply depending on demand. Liquid level sensors have been installed in the water reservoir and the pumps in the booster station facilitated management for optimum water level in the water reservoir. But the incident responses including sensor malfunction and communication breakdown actually count on manager's inspection, which involves risk of accidents. To stabilize draining facility management, this study has come up with AI model that predicts changes in the water level in the water reservoir. Going through simulation in the case of missing data in the water level to verify stability in relation to the field application of the prediction model for water level changes in the reservoir, the comparison of actual change value and predicted value allows to test utility of the model.

Vacant House Prediction and Important Features Exploration through Artificial Intelligence: In Case of Gunsan (인공지능 기반 빈집 추정 및 주요 특성 분석)

  • Lim, Gyoo Gun;Noh, Jong Hwa;Lee, Hyun Tae;Ahn, Jae Ik
    • Journal of Information Technology Services
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    • 제21권3호
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    • pp.63-72
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    • 2022
  • The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.

The Economic Costs of Newly Diagnosed Lyme Disease (Lyme질환의 경제적 비용분석)

  • Pauly, M. V.;;Madaglia, M.
    • Health Policy and Management
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    • 제4권2호
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    • pp.126-147
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    • 1994
  • Lyme 질환은 미국 코넷티컷주의 라임지방에서 관절염증상을 보이는 소아과환자에게서 1975년 처음 발견되었다, 사슴, 누루, 개 등에 기생하는 진드기에 의해 전염되며, 발병초기에는 감기증상을 수반한 황소의 눈과 비슷한 붉은 반점이 생긴다. 적기에 치료하지 않으면, 관절염, 심장질환, 안면신경마비 등으로 악화될 수 있다. 본 논문의 목적은 두가지로 나누어 볼 수 있다. 먼저, 진단초기의 Lyme질환과 관련된 의료 및 기타 경제적 비용을 저렴하게 계측할 수 있는 방법론을 개발하고 그 유효성을 검증하는 것이다. 둘째로 lyme질환의 비용에 대한 여러종류의 총괄적 계측치를 제공하고 발병의 위험요인을 색출하는 것이다. 본 논문에서는 차트분석이나 임상연구 등 고가의 비용이 수반되는 분석기법 대신에 Lyme질환 다발지역에 대한 설문조사를 실시하고 그 유효성을 재설문조사를 통해서 검증하는 방법을 사용하였다. 자료분석상의 난점은 조사대상자마다 응답하지 않은 항목(Missing Value)이 다르기 때문에, 총 비용을 계산할 때 모든 항목에 응답한 조사대상자만을 사용한다면 표본의 크기가 너무 작아지는 것이었다. 이에 대한 대안으로 총비용 및 부분별 비용의 합을 계산할 때 표본의 일부가 응답하지 않은 항목에 대해서는 그 항목에 응답한 나머지 조사대상자의 응답치 평균을 대체하는 방법을 사용하였다. 통계적 분석결과, 질환의 증상시작부터 설문조사시기까지 Lyme질환과 관련된 사회적 총비용은 US$ 6400으로 추정되었다. 이중에 200가량은 환자의 보호자와 관련된 비용이고 나머지는 환자와 관련되 것이다. 총의료비용의 평균은 계산방법에 따라서 US$ 3000-4200의 범위를 보였다. 응답되지 않은 항목을 해당항목에 대한 응답치평균으로 대체하였을 때 총의료비평균은 US$ 4108이었다. 시간비용을 생산성손실에 대한 사회적 가치와 실제임금 손실의 두가지 방법에 의해 계산되었다. 실제임금손실은 생산손실의 사회적 가치의 약 30%에 불과하였다. 본 논문의 결과는 의료비용 및 비용과 생산성손실에 대한 정보가 지역보건담당자에 의한 전화설문조사에 의해 경제적이고도 일관성 있게 수집될 수 있다는 근거로 해석될 수 있다.

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A Study on Characteristics of Climate Variability and Changes in Weather Indexes in Busan Since 1904 (1904년 이래의 부산 기후 변동성 및 생활기상지수들의 기후변화 특성 연구)

  • Ha-Eun Jeon;Kyung-Ja Ha;Hye-Ryeom Kim
    • Atmosphere
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    • 제33권1호
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    • pp.1-20
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    • 2023
  • Holding the longest observation data from April 1904, Busan is one of the essential points to understand the climate variability of the Korean Peninsula without missing data since implementing the modern weather observation of the South Korea. Busan is featured by coastal areas and affected by various climate factors and fluctuations. This study aims to investigate climate variability and changes in climatic variables, extremes, and several weather indexes. The statistically significant change points in daily mean rainfall intensity and temperature were found in 1964 and 1965. Based on the change point detection, 117 years were divided into two periods for daily mean rainfall intensity and temperature, respectively. In the long-term temperature analysis of Busan, the increasing trend of the daily maximum temperature during the period of 1965~2021 was larger than the daily mean temperature and the daily minimum temperature. Applying Ensemble Empirical Mode Decomposition, daily maximum temperature is largely affected by the decadal variability compared to the daily mean and minimum temperature. In addition, the trend of daily precipitation intensity from 1964~2021 shows a value of about 0.50 mm day-1, suggesting that the rainfall intensity has increased compared to the preceding period. The results in extremes analysis demonstrate that return values of both extreme temperatures and precipitation show higher values in the latter than in the former period, indicating that the intensity of the current extreme phenomenon increases. For Wet-Bulb Globe Temperature (effective humidity), increasing (decreasing) trend is significant in Busan with the second (third)-largest change among four stations.