• Title/Summary/Keyword: Value of the Date

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Effect of Seeding Date and Varieties of Italian Ryegrass on Forage Yield and Quality of Early Spring-seeded at Paddy Field in Southern Region (남부지역 논에서 봄파종시 이탈리안 라이그라스 품종 및 파종시기가 수량과 사료가치에 미치는 영향)

  • Kim, Ki Soo;Lee, Suk Kyung;Choi, Young Sun;Park, Do Hwan;Ji, Hee Jung;Jung, Jong Seong;Choi, Ki Choon;Kim, Won Ho
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.35 no.1
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    • pp.50-56
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    • 2015
  • Italian ryegrass is generally cultivated by a winter forage in a paddy field, the harvest season overlaps with rice transplantion in some cases. In addition, farmers can miss the optimal seedtime for Italian ryegrass because of the rainy season. Therefore, this research was conducted between October 2012 and June 2013 in Kwangjin, Korea to examine the effect of spring-seeding on the yields and quality of Italian ryegrass for the determination of an alternative if the optimal seedtime is missed. This trial consists of four different seeding dates (15 February, 25 February, 5 March, and 15 March) and three varieties (Kowinmaster, Kowinearly, and Green farm). The Italian ryegrass varieties "Kowinmaster," "Kowinearly," and "Green farm" were sown on February 15. The heading date of each variety showed from May 12 to May 9 and interval time of five days but the Treatment of March 15 planting date showed three days interval. The Kowinmaster variety, planted on February 15, was 93.0 cm taller on March 15 with a height of 105.7 cm. The Kowinearly and Green farm varieties planted on February 15 were of a similar height on February 25 and received a poor lodging score when planted quickly. The dry matter (DM) yield of the Kowinearly planted on February 15 was high but that of Green farm was low at 6,609 kg/ha and a difference was not shown between the varieties. The DM yield was different for those varieties planted on February 15 and March 15 (P<0.05). The crude protein content (CPC) of those varieties planted on February 15 showed an average of 8.8%, while those that were planted on March 15 showed an average that was about 2.3% higher at 11.1%; furthermore, the latter also showed lower acid detergent fiber (ADF) and total digestible nutrient (TDN) contents, by 2.1% and 1.5%, respectively. The relative feed value was about 5.9% higher, depending on the seeding date, as well as being slower and showing less difference between the varieties. According to this study, Italian ryegrass planted in a paddy field of the southern region of Korea on February 25 will produce a high-quantity yield with nutritive value.

A Study on Utilization of Research Information Resources on Internet (인터넷 학술정보자원의 분석 및 활용에 관한 연구)

  • 정영미
    • Journal of the Korean Society for information Management
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    • v.12 no.1
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    • pp.19-43
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    • 1995
  • Needs for up-to-date research information in various academic and research organizations are rapidly increasing in our country. It requires that researchers utilize worldwide information networks such as Internet to obtain recent information. In this study, various information searching tools and services available on Internet are investigated and information resources, especially scholarly resources, are explored using WAIS, WWW. Gopher, and OPACs. These information resources are analyzed to evaluate the value of Internet as a research network.

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A Study on the Accelerated Life Test of BLDC Motor in Ceiling Mounted Digital Signage Rotating System (천정 거치형 디지털 사이니지 회전 시스템의 BLDC모터 가속수명시험에 관한 연구)

  • Kim, Ki-Hong;Kwon, Soon-Hong;Kwon, Soon-Gu;Park, Jong-Min;Kim, Jong-Soon;Jung, Sung-Won;Choi, Won-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.3
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    • pp.141-147
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    • 2018
  • In a time when product development cycles are getting shorter and shorter, many companies are making efforts to develop products with high reliability in a short period of time, accelerated life test is widely used as a method to quickly evaluate reliability. Accelerated life test reduces the test life or the life of the product from the observed data by shortening the lifetime of the product or abruptly lowering the performance under the worse condition than the actual condition in order to shorten the test cost or the test time. In this paper, BL3640A-06P+RB35, DC12V model, which is used in the support device of an automatic rotation type digital signage, which display various information such as textures and images on a display screen in a public place or a commercial space, BLDC motors were subjected to a constant stress test and at the rotational speed of 1rpm, $180^{\circ}$ rotation and reverse rotation under actual use conditions, the stress was imposed on the rotating speed of 2rpm and the weight of the actual installed product from 22.2kgf to 10kgf were installed. The lifetime of the actual use environment condition is 23,545 hours and the rotation speed is accelerated. The life time of the acceleration condition with the additional weight is 1,380 hours. The acceleration factor is calculated as 17.06, the one year guarantee test day is 235 days to 14 days, of the period from 470 days to 28 days, and the third year from 704 days to 42 days. The test date of the BLDC motor was tested on the shortened test date, and the rotational speed and the current value were measured. It is found that there is no defect even if it operates as the test date corresponding to the specified one year warranty period and the 3 year accelerated life test which is experimented. Using the statistical technique of the regression analysis the expected time for the motor to defect to #4 samples was 20 years.

A Study on Consumer Value Perception through Social Big Data Analysis: Focus on Smartphone Brands (소셜 빅데이터 분석을 통한 소비자 가치 인식 연구: 신규 스마트폰을 중심으로)

  • Kim, Hyong-Jung;Kim, Jin-Hwa
    • The Journal of Society for e-Business Studies
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    • v.22 no.1
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    • pp.123-146
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    • 2017
  • The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

Study on Genetic Evaluation for Linear Type Traits in Holstein Cows

  • Lee, Deukhwan;Oh, Sang;Whitley, Niki C.
    • Asian-Australasian Journal of Animal Sciences
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    • v.23 no.1
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    • pp.1-6
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    • 2010
  • The objectives of this study were to i) investigate genetic performance for linear type traits of individual Holstein dairy cows, especially focusing on comparative traits, and to estimate genetic variances for these traits using actual data, and ii) compare genetic performance and improvement of progeny by birth country of the cows. Linear type traits defined with five comparative traits on this study were general stature composite (GSC), dairy capacity composite (DCC), body size composite (BSC), foot and leg composite (FLC), and udder composite (UDC). These traits were scored from 1 to 6 with 1 = poor, 2 = fair, 3 = good, 4 = good plus, 5 = very good and 6 = excellent. Final scores (FS) were also included in this study. Data used was collected from the years 2000 to 2004 by the Korea Animal Improvement Association (KAIA). Only data of more than five tested cows by herd appraisal date and by sires having more than ten daughters were included to increase the reliability of the data analyses. A total of 30,204 records of the selected traits, which was collected from 26,701 individuals having pedigree information were used. Herd appraisal date, year of age, lactation stage (grouped by month), and time lagged for milking (in hours) were assumed as fixed effects on the model. Animal additive genetic effects considering pedigree relationship and residual errors were assumed with random effects. Year of age at appraisal date was classified from one to nine years of age, assigning the value of nine years of age for animals that were greater than or equal to nine years of age. From our results, the estimate for heritability was 0.463, 0.346, 0.473, 0.290, and 0.430 on GSC, DCC, BSC, FLC and UDC, respectively. The estimate for FS heritability was 0.539. The greatest breeding values for GSC were estimated for Canada, with the breeding values for American lines increasing for 10 years starting in 1989 but tending to decrease after that until 2004. For DCC, the breeding values for American and Canadian lines showed similar patterns until 1999, after which the breeding values for the American lines declined sharply. For BSC, data from Korea, Canada and the USA followed similar trends overall except when the breeding values of the American lines decreased starting in 1999. Overall, the methods used to evaluate genetic performance in this study were acceptable and allowed for the discovery of differences by country of genetic origin, likely due in part to the American use of selection indexes based primarily on milk yield traits until methods for evaluating other traits began to emerge.

Development of Score-based Vegetation Index Composite Algorithm for Crop Monitoring (농작물 모니터링을 위한 점수기반 식생지수 합성기법의 개발)

  • Kim, Sun-Hwa;Eun, Jeong
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1343-1356
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    • 2022
  • Clouds or shadows are the most problematic when monitoring crops using optical satellite images. To reduce this effect, a composite algorithm was used to select the maximum Normalized Difference Vegetation Index (NDVI) for a certain period. This Maximum NDVI Composite (MNC) method reduces the influence of clouds, but since only the maximum NDVI value is used for a certain period, it is difficult to show the phenomenon immediately when the NDVI decreases. As a way to maintain the spectral information of crop as much as possible while minimizing the influence of clouds, a Score-Based Composite (SBC) algorithm was proposed, which is a method of selecting the most suitable pixels by defining various environmental factors and assigning scores to them when compositing. In this study, the Sentinel-2A/B Level 2A reflectance image and cloud, shadow, Aerosol Optical Thickness(AOT), obtainging date, sensor zenith angle provided as additional information were used for the SBC algorithm. As a result of applying the SBC algorithm with a 15-day and a monthly period for Dangjin rice fields and Taebaek highland cabbage fields in 2021, the 15-day period composited data showed faster detailed changes in NDVI than the monthly composited results, except for the rainy season affected by clouds. In certain images, a spatially heterogeneous part is seen due to partial date-by-date differences in the composited NDVI image, which is considered to be due to the inaccuracy of the cloud and shadow information used. In the future, we plan to improve the accuracy of input information and perform quantitative comparison with MNC-based composite algorithm.

Brightness Value Comparison Between KOMPSAT-2 Images with IKONOS/GEOEYE-1 Images (KOMPSAT-2 영상과 IKONOS/GEOEYE-1 영상의 밝기값 상호비교)

  • Kim, Hye-On;Kim, Tae-Jung;Lee, Hyuk
    • Korean Journal of Remote Sensing
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    • v.28 no.2
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    • pp.181-189
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    • 2012
  • Recently, interest in potential for estimating water quality using high resolution satellite images is increasing. However, low SNR(Signal to Noise Ratio) over inland water and radiometric errors such as non-linearity of brightness value of high resolution satellite images often lead to accuracy degradation in water quality estimation. Therefore radiometric correction should be carried out to estimate water quality for high resolution satellite images. For KOMPSAT-2 images parameters for brightness value-radiance conversion are not available and precise radiometric correction is difficult. To exploit KOMPSAT-2 images for water quality monitoring, it is necessary to investigate non-linearity of brightness value and noise over inland water. In this paper, we performed brightness value comparison between KOMPSAT-2 images and IKONOS/GeoEye-1, which are known to show the linearity. We used the images obtained over the same area and on the same date for comparison. As a result, we showed that although KOMPSAT-2 images are more noisy;the trend of brightness value and pattern of noise are almost similar to reference images. The results showed that appropriate target area to minimize the impact of noise was $5{\times}5$. Non-linearity of brightness value between KOMPSAT-2 and reference images was not observed. Therefore we could conclude that KOMPSAT-2 may be used for estimation of water quality parameters such as concentration of chlorophyll.

Studies on the Storage of Apple -(V) On the Harvesting Date of Spur Golden Delicious Apple- (사과저장(貯藏)에 관(關)한 연구(硏究) -(V) Spur Golden Delicious의 수확기(收穫期)에 관(關)하여-)

  • Park, Nou-Poung;Kim, Yun-Jin;Rhee, Chong-Ouk
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.5 no.1
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    • pp.19-24
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    • 1976
  • A determination of proper maturity is a significant factor for a good quality and storage. This study is aimed at a determination of optimum harvest date related to a decisive measuring of maturity in Spur Golden Delicious. In this case, respiratory status and other characteristics are taken as a indicator for maturing determination. The results are as follows. 1. Respiratory rate has been decreased through a fruit development and come to its minimized point on Sep. 25. at last. On the contrary its tendency has been increased after Sep. 25. It is also estimated that the former is pre-climacteric, the latter climacteric rise based on dimacteric minimum Sep. 25. 2. A flesh hardness has maintained comparably high value until Sep. 18. But in the point of climacteric minimum, Sep. 25, curve of flesh firmness has rapidly been broken down, and after Sep. 25, tendency has slowly decreased at the sucessive date. 3. Pectin content, optimum acidity are remarkably decreased after Sep. 25, Oct. 2 respectively. 4. When water soluble sugar content shows to be swung from climacteric minimum, any resonable tendency are not found. 5. In this experiment, optimum harvest time is found by Oct. 2, in time of 145 days after flowering.

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Evaluation of Forage Productivity and Nutritional Value of Kenaf (Hibiscus cannabinus L.) at Different Fertilizer Application Amounts and Different Stages of Maturity

  • Tomple, Byamungu Mayange;Jo, Ik-Hwan
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.41 no.2
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    • pp.84-95
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    • 2021
  • The purpose of this study was to assess the forage productivity and nutritive value of kenaf at different fertilizer application amounts and various stages of maturity. The experiment was conducted from May to September 2020, the amount of 80 kg of kenaf seed/ha was supplied with different types and amounts of nitrogen fertilizer and the plants were harvested at 10-day intervals from different harvesting dates (24th August and 3rd, 13th, 23rd September). According to the different fertilizer types and application amounts, the highest kenaf height was recorded in the inorganic fertilizer amounts of 200 and 250 kg N/ha and the fresh and DM yield were significantly improved in the inorganic nitrogen amount of 250 kg N/ha. The highest CP and TDN content in the leaf was achieved in the inorganic fertilizer amounts of 150 and 200 kg N/ha, respectively; and the highest TDN content in the stem was also found in the inorganic fertilizer amount of 200 kg N/ha. According to the different harvesting dates, the highest DM ratio was found in the harvesting date of 13th September, the leaf ratio increased with advanced maturity, whereas the stem ratio decreased significantly and the highest DM yield of kenaf was recorded in the harvesting dates of 13th and 23rd September. Besides, the highest CP, CF, CA, ADF, NDF and TDN content in the leaf as influenced by different harvesting dates was 15.4, 31.8, 10.2, 22.1, 34.7 and 76.5%, respectively, and the CP, CA, ADF and TDN in stem decreased significantly with advanced maturity of kenaf. In conclusion, the optimal fertilizer amounts and the appropriate harvesting dates for a high forage yield and high-quality kenaf as livestock feed were the inorganic fertilizer application amounts of 200-250 kg N/ha and from 13th and 23rd September, respectively.

Analysis of a Spatial Distribution and Nutritional Status of Chlorophyll-a Concentration in the Jinyang Lake Using Landsat 8 Satellite Image (Landsat 8호 영상을 이용한 진양호의 클로로필 a 농도의 공간분포와 영양상태 분석)

  • Jang, Min Won;Cho, Hyun Kyung;Kim, Sang Min
    • Journal of Korean Society on Water Environment
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    • v.35 no.1
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    • pp.1-8
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    • 2019
  • The purpose of this study is to evaluate the nutritional status of Lake Jinyang using Landsat 8 satellite image band correlated with chlorophyll-a, which is also related to algae proliferation. We selected 20 Landsat 8 images dating from 2013 to 2017, taken close to water quality measurement date when the cloud cover was less than 20 %. Based on the results of the previous studies, analyzing the correlation between chlorophyll-a, and Landsat 8 satellite image band, we selected near infrared wavelength, band 5 which is closely related to the population of algae. The nutritional status was classified using the Aizaki trophic state index (TSIm). The results of the regression equation between band 5 and the observed chlorophyll-a data was used to calculate chlorophyll-a for the image data from 2013 to 2017. The concentration of chlorophyll-a ranged from 3 to $16.1mg/m^3$. To illustrate the spatial distribution of chlorophyll-a within the lake, the chlorophyll-a concentration was divided into five grades. The images on October 14, 2014 and April 10, 2016 showed relatively high value of chlorophyll-a, while January 18, 2015 and December 6, 2016 chlorophyll-a value were below 5. The images on October 14, 2014 and April 10, 2016 were rated as eutrophic status in most areas. The results of simulating water quality for the day when the water quality was not measured resulted to an approximate value for the Panmun station while the Naedong station needed some corrections.