• Journal of The Korean Society of Grassland and Forage Science
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• v.23 no.2
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• pp.115-120
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• 2003

This study was conducted to select the promising varieties of white clover (va.) California Ladino, Seminole, Sonja, Milo, Rinendel, Alberta and Sona at Daekwanryong branch(altitude 800m a.s.l.) and Namwon branch(altitude 450m a.s.l.) of National Livestock Research Institute. Leaf color of white clover was light green except for Ladino and Seminole, and leaf width was broad in others except for both varieties. Winter hardness of Seminole was the greatest with 85.2%. In Daekwanryong, dry matter yield of white clover was the highest with 5,251kg/ha in Milo of all varieties. Also, dry matter yield of Ladino was the hightest with 9,405kg in Namwon. In Daekwanryong and Namwon, ADF content of Ladino was the lowest with 24.3% and 42.7%, respectively. Also, NDF content of Sonja, Ladino and Rinendel was low when those compared with other varieties. Crude protein content of Seminole in Daekwanryong and Rinendel in Namwon was the highest with 22.2% and 28.4%, respectively. The results of this study indicated that Milo and California Ladino would be the promising varieties of white clover in Daekwanryong and in Namwon. respectively.

• The International Journal of Costume Culture
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• v.12 no.1
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• pp.97-100
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• 2009

Patchwork is a handicraft to put some certain shapes of small cloths together. Historical records of patchwork was discovered in Ancient Egypt as far back as BC 1000. Patchwork has been popular in the England and in around 13-$14^{th}$ century, European spliced little pieces of cloths for cold necessities, which made the handle of patchwork techniques gradually tend to decorative other than utility. Patchwork designs and techniques were taken across the Atlantic to North America with the early settlers in the mid-eighteenth century. In the early years of $20^{th}$ century, owing to the continuous technological advances, woman got more job opportunities that made patchwork technologies withered. Patchwork art continually evolved on the basis of historical and cultural factors to new styles, the famous Hawaiian, Stained Glass, Mola, Celtic, Victoria, Seminole and many other patchwork styles like that perfect embodied different art and cultures of different nations in different times.

• Proceedings of the Korea Society of Costume Conference
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• 2004.08a
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• pp.191-201
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• 2004

• Communications of the Korean Mathematical Society
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• v.26 no.4
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• pp.685-693
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• 2011

General framework for proximal point algorithms based on the notion of (A, ${\eta}$)-maximal monotonicity (also referred to as (A, ${\eta}$)-monotonicity in literature) is developed. Linear convergence analysis for this class of algorithms to the context of solving a general class of nonlinear variational inclusion problems is successfully achieved along with some results on the generalized resolvent corresponding to (A, ${\eta}$)-monotonicity. The obtained results generalize and unify a wide range of investigations readily available in literature.

• Horticultural Science & Technology
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• v.29 no.6
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• pp.617-622
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• 2011

The study was conducted to determine the efficiency in producing spontaneous polyploids in some mandarin hybrids with different seed embryony. Seed formation by open pollination, frequency of spontaneous polyploids, and plant growth characteristics were evaluated in four mandarin hybrids with polyembryony such as 'Amakusa', 'Haruka', 'Hayaka', and 'Seminole' and two with monoembryony such as 'Benibae' and 'Harehime'. The mean number of the developed seeds per fruit was 10.0 and frequency of small seeds was 25.1%. Polyploids were selected from plants germinated in vitro by a flow cytometry and confirmed by chromosome analysis. One triploid was produced from 'Harehime', one tetraploid, 'Amakusa', and one tetrapoid, 'Benibae'. There were little differences in leaf shape, thickness, petiole length, and internode length between diploids and polyploids such as tri- or tetraploid. However, polyploids had larger stomata and lower density of stomata in abaxial epidermis than diploids. SPAS indicating chlorophyll content and photosynthetic rate were significantly affected by ploidy level. The results indicated that spontaneous polyploids might be produced by open pollination in some mandarin hybrids and monoembryony had higher frequency in polyploid occurrence than polyembryony.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1017-1023
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• 2022

Past research shows that the construction of new infrastructure accelerates economic growth in the region by attracting more people and commodities. However, the previous studies only considered large-scale infrastructures such as sea-cross bridges and channel tunnels. There is a paucity of literature on regional infrastructure and its impact on socio-economic indicators. This paper explores the impact of new bridge construction on the human population, particularly focusing on regional bridges constructed during the 2000s in the state of Georgia. The human population at a county level was selected as a single socio-economic factor to be evaluated. A total of 124 cases were investigated as to whether the emergence of a new bridge affected the population change. The interrupted time series analysis was used to statistically examine the significance of population change due to the construction by treating each new bridge as an intervention event. The results show that, out of the 124 cases, the population of 67 cases significantly increased after the bridge construction, while the population of 57 cases was not affected by the construction at a significance level of 0.05. The 124 cases were also analyzed by route type, functional class, and traffic volume, but the results revealed, unlike large-scale infrastructure, that no clear evidence was found that a new bridge would bring an increase in the human population at a county level.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.508-515
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• 2022

Construction safety education will continue to attract the interests of construction educators, researchers, and industry professionals due to its immense influence on accident reduction and prevention. A well-educated workforce with a thorough understanding of safety requirements and procedures is needed to develop and apply effective safety and health programs as well as devise strategic means of preventing injuries, illnesses, and fatalities on construction projects. The objective of this research is to evaluate construction safety education in the curriculum of construction programs in the United States. An analysis of construction safety courses across accredited construction programs in the U.S. is conducted to synthesize important details and common themes. A nationwide characterization of the safety courses presented followed by an assessment selected a few programs as a pilot study. Critical elements of the courses such as course titles, course year, credit hours, topics covered, and alignment with professional certification or outreach training courses are characterized. Findings from the study reveal the similarities and variations that exist among safety courses taught in different construction programs in the U.S. These findings could result from several influencing factors, which could be the subject of further investigations geared toward improving safety education in construction programs.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.814-822
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• 2022

The deployment of sensors for Structural Health Monitoring requires a complicated network arrangement, ground truthing, and calibration for validating sensor performance periodically. Any conventional sensor on a structural element is also subjected to static and dynamic vertical loadings in conjunction with other environmental factors, such as brightness, noise, temperature, and humidity. A structural model with strain gauges was built and tested to get realistic sensory information. This paper investigates different deep learning architectures and algorithms, including unsupervised, autoencoder, and supervised methods, to benchmark blind drift calibration methods using deep learning. It involves a fully connected neural network (FCNN), a long short-term memory (LSTM), and a gated recurrent unit (GRU) to address the blind drift calibration problem (i.e., performing calibrations of installed sensors when ground truth is not available). The results show that the supervised methods perform much better than unsupervised methods, such as an autoencoder, when ground truths are available. Furthermore, taking advantage of time-series information, the GRU model generates the most precise predictions to remove the drift overall.