Journal of Practical Agriculture & Fisheries Research
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v.24
no.2
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pp.23-28
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2022
There is a need to breed and distribute of domestic varieties for Lilium Asiatic hybrids because most of the lily bulbs cultivated in Korea bred from foreign country. The collected Lilium Asiatic hybrids 'Butter Pixie' for a maternal line, 'Mona' for a paternal line based on the genetic resources from 2000 had been crossed self-fertilization from 2000 to 2006. In 2008, We developed Lilium Asiatic 'Yellow LiASong' as a F1 hybrid which was crossed 'L2-18-1' and 'L2-21-4' those obtained by 4th self-fertilization. The flower of 'Yellow LiASong' is a bowl shaped single flower with no spots that 5.8 flowers per plant, which is a relatively many number compared other cultivars, and 15.5cm flower diameter with a medium size. And the flower inflorescence has umbellate and racemose while the attitude of longitudinal axis is erect. The plant height is 36.2cm with 35.5 leaves per plant and 10.7cm of the leaf length. Thus, The 'Yellow LiASong' showed a high consumer preference. Which has a longer flowering period due to having a relatively larger diameter and number of flowers than that of 'Tiny Bee', which is a comparable variety.
Soolo, Kim;Jong-Sung, Choi;Ho-Goon, Yoon;Sang-Wook, Kim
Tunnel and Underground Space
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v.32
no.6
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pp.451-463
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2022
Whenever a mineshaft accidentally collapses, speedy risk assessment is both required and crucial. But onsite safety diagnosis by humans is reportedly difficult considering the additional risk of collapse of the unstable mineshaft. Generally, drones equipped with high-speed lidar sensors can be used for such inspection. However, the drone technology is restrictively applicable at very shallow depth, failing in mineshafts with depths of hundreds of meters because of the limit of wireless communication and turbulence inside the mineshaft. In previous study, a three-dimensional (3D) scanning system with a single channel lidar was fabricated and operated using towed cable in a mineshaft to a depth of 200 m. The rotation and pendulum movement errors of the measuring unit were compensated for by applying the data of inertial measuring unit and comparing the similarity between the scan data of the adjacent depths (Kim et al., 2020). However, the errors grew with scan depth. In this paper, a multi-channel lidar sensor to obtain a continuous cross-sectional image of the mineshaft from a winch system pulled from bottom upward. In this new approach, within overlapped region viewed by the multi-channel lidar, rotation error was compensated for by comparing the similarity between the scan data at the same depth. The fabricated system was applied to scan 0-165 m depth of the mineshaft with 180 m depth. The reconstructed image was depicted in a 3D graph for interpretation.
Purpose: This study aimed to identify prognostic factors for patients with distant lymph node-involved gastric cancer (GC) using a machine learning algorithm, a method that offers considerable advantages and new prospects for high-dimensional biomedical data exploration. Materials and Methods: This study employed 79 features of clinical pathology, laboratory tests, and therapeutic details from 289 GC patients whose distant lymphadenopathy was presented as the first episode of recurrence or metastasis. Outcomes were measured as any-cause death events and survival months after distant lymph node metastasis. A prediction model was built based on possible outcome predictors using a random survival forest algorithm and confirmed by 5×5 nested cross-validation. The effects of single variables were interpreted using partial dependence plots. A contour plot was used to visually represent survival prediction based on 2 predictive features. Results: The median survival time of patients with GC with distant nodal metastasis was 9.2 months. The optimal model incorporated the prealbumin level and the prothrombin time (PT), and yielded a prediction error of 0.353. The inclusion of other variables resulted in poorer model performance. Patients with higher serum prealbumin levels or shorter PTs had a significantly better prognosis. The predicted one-year survival rate was stratified and illustrated as a contour plot based on the combined effect the prealbumin level and the PT. Conclusions: Machine learning is useful for identifying the important determinants of cancer survival using high-dimensional datasets. The prealbumin level and the PT on distant lymph node metastasis are the 2 most crucial factors in predicting the subsequent survival time of advanced GC.
Despite recent breakthroughs in deep learning and computer vision fields, the pixel-wise identification of tiny objects in high-resolution images with complex disturbances remains challenging. This study proposes a modified U-net for tiny crack segmentation in real-world steel-box-girder bridges. The modified U-net adopts the common U-net framework and a novel Self-Attention-Self-Adaption (SASA) neuron as the fundamental computing element. The Self-Attention module applies softmax and gate operations to obtain the attention vector. It enables the neuron to focus on the most significant receptive fields when processing large-scale feature maps. The Self-Adaption module consists of a multiplayer perceptron subnet and achieves deeper feature extraction inside a single neuron. For data augmentation, a grid-based crack random elastic deformation (CRED) algorithm is designed to enrich the diversities and irregular shapes of distributed cracks. Grid-based uniform control nodes are first set on both input images and binary labels, random offsets are then employed on these control nodes, and bilinear interpolation is performed for the rest pixels. The proposed SASA neuron and CRED algorithm are simultaneously deployed to train the modified U-net. 200 raw images with a high resolution of 4928 × 3264 are collected, 160 for training and the rest 40 for the test. 512 × 512 patches are generated from the original images by a sliding window with an overlap of 256 as inputs. Results show that the average IoU between the recognized and ground-truth cracks reaches 0.409, which is 29.8% higher than the regular U-net. A five-fold cross-validation study is performed to verify that the proposed method is robust to different training and test images. Ablation experiments further demonstrate the effectiveness of the proposed SASA neuron and CRED algorithm. Promotions of the average IoU individually utilizing the SASA and CRED module add up to the final promotion of the full model, indicating that the SASA and CRED modules contribute to the different stages of model and data in the training process.
Song, Woo Keun;Kim, Sang Seok;Choi, Jeong Seok;Lee, JungUn;Lee, Jong Cheol;Lee, Jun won;Choi, Jong Yoon
Journal of Aerospace System Engineering
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v.16
no.5
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pp.62-69
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2022
EHA (Electro-Hydrostatic Actuator) is more energy efficiency than a centralized hydraulic system. In particular, the EHA used for aircraft has a redundant design in preparation for failure scenario. Also, due to the aircraft's internal space limitation, the actuator's length must be optimized. Therefore, a series configuration of double rod and single rod cylinder is advantageous. However, due to the asymmetry of the cross-sectional area of the piston, the force fighting phenomenon between the two cylinder areas occurs during redundant operation with a general control system. In this paper, the force fighting phenomenon of redundant EHA was simulated. A controller with load compensation and a force control-based position controller as a method to suppress its stimulation
Objectives: The study aim was to identify changes in the nutritional status of older adults during the COVID-19 pandemic according to household income and demographic characteristics. Methods: Study participants were 2,408 adults aged 65 and over who participated in the 2019-2020 Korea National Health and Nutrition Examination Survey (KNHANES). To examine changes in nutrient intake levels resulting from COVID-19, data of 2019 and of 2020 were compared. Study participants were divided into three groups based on household income level to compare these changes. The changes were compared according to household income level, age group, and household type. Results: Percentages of recommended intakes for energy, protein, and most micronutrients were the lowest for the low-income group of both males and females in 2020. The Mean Adequacy Ratio (MAR) score was the lowest for the low-income group in both years. When comparing nutrient density for 2019 and 2020 by income group, the male low-income group experienced a decrease in nutrient densities of vitamin A, thiamine, calcium, and iron. For the same group, a decreased percentage for energy intake from protein was noted. Fruit intake was lowest in the low-income group for both males and females. Low-income males had the lowest intake levels for meat, fish, eggs, and legumes in both 2019 and 2020 and the lowest milk and milk product intake levels in 2020. Older adults living alone or single older adults with children had lower MAR scores than those living with a spouse. Older adults living alone experienced decreases in energy and thiamine and iron intake levels in 2020 compared to their intake levels in 2019. Conclusions: Because of the COVID-19 pandemic, nutrition intake levels worsened for older adult males in the low-income group and older adults living alone. This finding shows the need for a more systematic nutritional support strategy for the vulnerable older adults population in national disaster situations.
This research aims to investigate the socio-demographic, financial, and housing statuses of young married couples in Chonsei housing and to analyze the determinants of their residential environment quality and housing expenditure in four districts - Seoul and Gyeonggi-Incheon Area(GIA) of the Seoul Metropolitan Area(SMA), and metropolises and non-metropolises of non-SMA. From the 2020 Korean Housing Survey(KHS), this cross-sectional analysis examined a sample of 691 households, and the findings revealed that most were headed by college-educated, salaried male workers aged 31 years old. While childless dual-earner couples were common in Seoul, single-income families of three were prevalent in non-SMA. The financial status of the couples in Seoul was a lot better than in the other three areas, particularly much higher in Chonsei deposit and total asset value. Further, many lived in a three-bedroom apartment unit sized 60m2 and bigger, using a Chonsei loan. Regardless of areas, almost all the households spent a very low portion of their living expenses and income on housing costs. However, dual-earner families positively increased borrowing capacity, which improves the household's financial position that is likely to lead to equity increment in a volatile asset market in the long run. The statistical results indicated that residential environment assessment was influenced by neighborhood quality and housing expenditure was affected by housing size in Seoul, urban amenities in GIA and householder's gender in non-metropolises. Thus, this research proposes that strong measures be considered to mitigate housing inequality embedded in geographical and socio-economic disparities.
Choi, Myounghwa;Lee, Yoonseo;Koo, Kay Ryung;Lee, Janghyuk
Asia Marketing Journal
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v.16
no.4
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pp.75-87
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2015
As more companies become interested in global markets, it has become crucial for firms to create globalized brands whose positioning, advertising strategy, personality, looks, and feel are consistent across nations. The purpose of this study is to investigate the global branding strategy of the Hyundai Motor Company (hereafter HMC) in order to show how the company processes its branding strategy. HMC, one of the leading global companies in the automobile industry, set up its brand identity as "Modern premium", in alignment with their new slogan "New Thinking New Possibilities", in 2011. The aim of the "Modern premium" concept was to provide consumers with new experiences and values beyond their expectations. HMC wanted their consumers to think of their cars as not only a medium of transportation but as a life space, where they can share experiences alongside HMC. In an effort to conduct consumer research in 5 different nations, HMC selected "brilliant" as a key communication concept. The word "brilliant" expresses the functional, experiential, and emotional dimensions of HMC. HMC furthermore chose "live brilliant" as a key campaign message in order to reinforce their communication concept. After this decision, the "live brilliant" campaign was exhibited through major broadcast channels around the world. The campaign was the company's first worldwide brand campaign, where a single message was applied to all major markets, with the goal of building up a consistent image as a global brand. This global branding strategy is worth examining due to its significant contribution to growth generation in the global market. Overall, the 'live brilliant' global brand campaign not only improved HMC's reputation image-wise, with the 'Modern Premium' conceptualization of the brand as 'simple', 'creative' and 'caring', but also improved the consumer's familiarity, preference and purchase intention of HMC. In fact, the "live brilliant" campaign was a successful campaign which increased HMC's brand value. Notably, HMC's brand value increased continuously and reached 9 billion US dollars in 2013, leading it to reach 43rd place in the Global Brand Rankings according to the brand consulting group Interbrand. Its brand value largely surpassed that of Nissan (65th) and Chevrolet (89th) in 2013. While it is true that the global branding strategy of HMC involved higher risks, it was highly successful according to cross-nation consumer research. Therefore, this paper concludes that the global branding strategy of HMC made a positive impact on its performance. We further suggest HMC to combine its successful marketing with social media such as Facebook, Twitter, and Instagram and embrace digital media by extending its brand communication horizon to the mobile internet
In an attempt to find better ways to relate growth with temperature and to estimate maturity differences in corn (Zea mays L.), various formulas of computing Growing Degree Days (GDD) were evaluated. Utilizing data from 17 plantings of a single cross, Suweon 19, over a 3 year period, 24 different methods of computing GDD were compared for their ability to reduce variations over different plantings. The best equation was to compute GDD with a base temperature of 10$^{\circ}C$ and an optimum of 30$^{\circ}C$. The excess temperature above 30$^{\circ}C$ was subtracted to account for high temperature stress. GDDs required for emergence and silking of Suweon 19 were 64${\pm}$12$^{\circ}$ and 794${\pm}$19$^{\circ}$, respectively. Based on these GDD values, emergence and silking dates could be estimated with a variation less than 3 days. The observed and estimated number of days from planting to emergence and silking were not significantly different.
Two single cross maize hybrids planted on May 4 and 25 and June 15, 1982 were grown at 40,000:55,000 70,000 and 85,000 plants per hectare to evaluate plant density effect on growth and grain yield at different planting dates. Two hybrids with different leaf angle (Suweon 19 with horizontal leaves and Suweon 58 with erect leaves) and the same maturity were used. The number of days from planting to silking varied from 74 to 58 days as planting was delayed from May 4 to June 15. However, growing degree days from planting to silking was about $810^{\circ}C$ regardless planting dates. Grain yields of two hybrids were significantly decreased as planting was delayed. The number of ears per 100 plants and the number of kernels per ear of two hybrids were linearly decreased with increasing plant density. The optimum plant density for Suweon 19 estimated by Duncan's method was about 55,000 plants hectare for May 4 and 25 plantings and decreased to 32,000 plants/hectare for June 15 planting. The optimum density for Suweon 58 was estimated to be about 71,000 plants/hectare for May 4 planting and 54,000 plants/hectare for May 25 planting, respectively.
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