• The Journal of Information Systems
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• v.31 no.3
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• pp.19-45
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• 2022

Purpose Since COVID-19, the demand for online class platforms has increased. However, those platforms have not been clearly defined, and related research is also limited. In the context of the knowledge marketplace (KMs), this study examined the effects of class information and trust in creators on class preferences from the perspective of consumption value theory. Design/methodology/approach By establishing a web crawler through Python, this study collected 1,174 class data in Korea's leading knowledge marketplace, Class 101, focusing on diverse class-related information and the number of Instagram followers for individual class creators. Based on class information, this research analyzed the effects of consumers' utilitarian value, social value, and hedonic value on class preference. In addition, this study examined whether consumers' trust in creators moderates the relationship between class information and class preference. Findings According to analysis results, it was found that the higher the consumers' consumption value for each class on KMs, the more positive their preference for the class. Also, it was confirmed that consumers' trust in creators moderates the relationship between class information and class preference.

• 대한치과교정학회:학술대회논문집
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• 2003.10a
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• pp.101.2-101.2
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• 2003

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.2
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• pp.226-235
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• 2000

A survey on feeding practices was conducted with thirty-one cattle farmers belonging to three categories: households without land and no income from agricultural labour (Class 100;10 farms), households without land but deriving considerable income from agricultural labour (Class 101;10 farms), and households with land and without income from agricultural labour (Class 110;11 farms). Information on the types of feeds given of one year. In addition, samples of the feeds offered and refused were collected every two weeks and analysed for dry matter, organic matter (OM), crude protein (CP) and in vitro organic matter digestibility (OMD). Grass was usually cut at an early stage of growth, as such the CP(11.8%) and OMD (62%) were relatively high. All types of rice straw (whole, lower and upper part) and sugarcane forage (tops and leaves) were low in CP (<6 and <8.9%, respectively) and OMD (<45 and <47%, respectively). Rice bran and tofu waste was of much better quality than any other feed. The average number of different feeds in the rations (mean of all farms) was 1.98, with a lower value for class 101 (1.80), than for classes 100 and 110 (2.11 and 2.02, respectively). Of the total amount of OM consumed, 42% was rice straw, 21% grass, 19% maize forage, 10% sugarcane forage, <4% other forages (soya and groundnut straw), 1.3% rice bran and 2.9% tofu waste. The total amount of OM offered varied from <80 $g/kg^{0.75}/d$ in August/September to 1.5 times as much in May (P<0.01). The intake of digestible organic matter (IDOM) for farm class 110 ($37.7g/kg^{0.75}/d$) was significantly (p<0.001) lower than that for classes 100 and 101 (44.1 and $41.3g/kg^{0.75}/d$, respectively). The highest CP/IDOM ratio was recorded for farm class 101 (0.201 as compared to 0.181-0.184).

• Monthly Korean Chicken
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• v.17 no.8
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• pp.100-101
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• 2011

• Monthly Korean Chicken
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• v.18 no.8
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• pp.100-101
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• 2012

• Monthly Korean Chicken
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• v.16 no.4
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• pp.100-101
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• 2010

• Monthly Korean Chicken
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• v.17 no.12
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• pp.100-101
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• 2011

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.173-182
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• 2021

In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.

• Journal of Forest and Environmental Science
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• v.30 no.1
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• pp.101-106
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• 2014

The purpose of this research was to figure out the stand structure and growth characteristic with relation to DBH, height, and volume in sixteen Pinus koraiensis plantations of Gangwon province region. Age class was diversely distributed from age class II (16 yr) to age class VIII (77 yr), and, in terms of site index, sixteen regions were superior: nine regions 'high', seven regions 'middle'. The distribution of DBH by sites appeared a bell-shaped curve, and the number of trees was the most in diameter section of 18-22 cm. The dispersion of DBH was various with age and widest ranging from 18 cm to 58 cm in age class VII-VIII. The distribution of height was also a bell-shaped curve with the smaller deviation than the distribution of DBH, and most of trees were in height section of 14-18 m. The correlation of DBH and height was high (r=0.75), and the volume bigger than 1.0 $m^3$ was presented from DBH 35 cm, height 20 m.

• Journal of the Korean Mathematical Society
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• v.21 no.1
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• pp.101-108
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• 1984