• Title/Summary/Keyword: Day-Ahead

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A Feasibility Study on the Hour Setting in Almanac (역법에서의 시진(時辰) 설정에 대한 타당성 논의)

  • Cheong-Ha Lee;Sun-Ok Shin
    • Industry Promotion Research
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    • v.8 no.2
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    • pp.119-132
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    • 2023
  • The purpose of this paper is to re-establish the concept of Eastern time, which is used in Myeongliology and Kimun-dungap, and to discuss the use of real-time of the sun according to the birth area, the selection of real-jasi between night-jasi and real-jasi, and the exact meaning of birth time. The conventional use of time in Korean society uses Tokyo as standard time and uses a time system in which a new day begins at midnight. Howev er, what is important is not social univ ersality but the time and space of the univ erse where I was born, which is the center of the universe, should be the standard of my fate, so I have to use the longitude of the place where I was born to determine my exact time. Also it is argued that real-jasi should be selected for the selection problem of night-jasi and real-jasi, which has long been a controversial topic in Myeongliology, because the flow of cosmic energy is signaled an hour ahead. To secure the validity of setting such time, a case analysis was conducted using the time adjustment method through the spread of Kimun-dungap. Through in-depth interviews with the analysis subjects, the lives of the past were collected by date and time, and then Kimun-dungap checked whether the timing of each life event was accurate.

Characteristics and Yield of Recommended Cultivars by Imported Forage Crop Yield Regional Trials in 2002 II. Mid-maturing, Good Quality, and High Yield of Forage Corn Hybrid, “Nc+4880”, “Garst 8396 IT” (2002年 사료작물 수입적응성 인증품종의 생육특성 및 수양성 II. 중숙 양질 다수성 사일리지용 옥수수 교잡종 “Nc+4880” 및 “Garst 8396 IT”)

  • Sung, B.R.;Lim, Y.W.;Lim, Y.C;Kim, K.Y.;Lim, K.B.
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.22 no.4
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    • pp.253-258
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    • 2002
  • NC+4880, a forage com hybrid, is bred by NC+hybrids Co. in US, and Gast 8396 IT is by Garst Seeds Co. We have tested these two cultivars in Suwon and Chonan over three years to test their regional yield trial. Through above experiments, the excellence is testified, in result, they are determined as new recommended cultivars by NACF. The main characteristics of these cultivars are as tallows ; 1. NC+4880 a. The seed coat is yellow, the mean tasseling date is 7th of July and it takes about 74 days from emergence to tasseling date. This hybrid is a day ahead and the culm length is 242 cm, moreless shorter comparing with a check hybrid, Suwon 19. The ear height 117 cm which is short and its stay green is moderate. b. It shows resistance to H maydis, and MBSDV is barely observed and its stay green is moderate. c. The fresh yield, dry matter yield, and TDN yield per a ha are 55.4 tons, 18.3 tons, 12.4 tons, respectively, which are increased by 6%, 7%, and 9%, respectively, comparing with a check hybrid, Suwon 19. The percent ear among total dry matter yield is 50.9%. 2. Garst 8396 IT a. The seed coat is yellow, the mean tasseling date is 9th of July and it takes about 76 days from emergence to tasseling date. This hybrid represent a day delayed compared with a check hybrid, Suwon 19. The Culm length and the ear height are 275 cm, and 138 cm, respectively. b. It resists moderately to H. maydis, and highly resists to lodging in the field conditions. MBSDV is barely observed and its stay green is moderate. c. The fresh yield per a ha is 64.9 tons, dry matter yield, 20.9 tons, and TDN, 13.8 tons, respectively, which are increased by 25%, 23%, and 22% comparing with a check hybrid, Suwon 19. The percent ear among total dry matters is 43.3%.

Managerial Implication of Trails in the Teabaeksan National Park Derived from the Analysis of Visitors Behaviors Using Automatic Visitor Counter Data (탐방객 자동 계수기 데이터를 활용한 태백산국립공원 탐방로 탐방 행태 분석 및 관리 방안 제언)

  • Sung, Chan Yong;Cho, Woo;Kim, Jong-Sub
    • Korean Journal of Environment and Ecology
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    • v.34 no.5
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    • pp.446-453
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    • 2020
  • This study built a model to predict the daily number of visitors to 18 trails in the Taebaeksan National Park using the auto-counter system data to analyze the factors affecting the daily number of visitors to each trail and classified the trails by visitors' behaviors. Results of the multiple regression models with the daily number of visitors of the 18 trails indicated that the events, such as the National Foundation Day celebration of Snow Festival, affected the number of visitors of all of the 18 trails and were the most critical factor that determined the daily number of visitors to the Taebaeksan National Park. The long-holidays of three days or longer and other national holidays also affected the daily number of visitors to the trails. Precipitation had a negative impact on the number of visitors of trails where the intention of most visitors was for sightseeing or camping instead of hiking, whereas had no significant impacts on the number of visitors of trails where many visitors intended for hiking. It indicated that visitors who intended for hiking went ahead hiking even if the weather was poor. The effects of temperature had a positive effect on the number of visitors who intended for hiking but a negative effect on the number of visitor to the trails near Danggol Plaza where the Snow Festival was held in each winter, suggesting that the impact of the Snow Festival was the deterministic factor for trail management. Results of K-mean clustering showed that the 18 trails of the Taekbaeksan National Park could be classified into three types: those affected by the Snow Festival (type 1), those that have sightseeing points and so were visited mostly by non-hikers (type 2), and those visited mostly by hikers (type 3). Since visitor behaviors and illegal actions differ according to the trail type, this study's results can be used to prepare a trail management plan based on the trail characteristics.

A Road Luminance Measurement Application based on Android (안드로이드 기반의 도로 밝기 측정 어플리케이션 구현)

  • Choi, Young-Hwan;Kim, Hongrae;Hong, Min
    • Journal of Internet Computing and Services
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    • v.16 no.2
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    • pp.49-55
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    • 2015
  • According to the statistics of traffic accidents over recent 5 years, traffic accidents during the night times happened more than the day times. There are various causes to occur traffic accidents and the one of the major causes is inappropriate or missing street lights that make driver's sight confused and causes the traffic accidents. In this paper, with smartphones, we designed and implemented a lane luminance measurement application which stores the information of driver's location, driving, and lane luminance into database in real time to figure out the inappropriate street light facilities and the area that does not have any street lights. This application is implemented under Native C/C++ environment using android NDK and it improves the operation speed than code written in Java or other languages. To measure the luminance of road, the input image with RGB color space is converted to image with YCbCr color space and Y value returns the luminance of road. The application detects the road lane and calculates the road lane luminance into the database sever. Also this application receives the road video image using smart phone's camera and improves the computational cost by allocating the ROI(Region of interest) of input images. The ROI of image is converted to Grayscale image and then applied the canny edge detector to extract the outline of lanes. After that, we applied hough line transform method to achieve the candidated lane group. The both sides of lane is selected by lane detection algorithm that utilizes the gradient of candidated lanes. When the both lanes of road are detected, we set up a triangle area with a height 20 pixels down from intersection of lanes and the luminance of road is estimated from this triangle area. Y value is calculated from the extracted each R, G, B value of pixels in the triangle. The average Y value of pixels is ranged between from 0 to 100 value to inform a luminance of road and each pixel values are represented with color between black and green. We store car location using smartphone's GPS sensor into the database server after analyzing the road lane video image with luminance of road about 60 meters ahead by wireless communication every 10 minutes. We expect that those collected road luminance information can warn drivers about safe driving or effectively improve the renovation plans of road luminance management.