• Women's Health Nursing
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• v.15 no.4
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• pp.353-361
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• 2009

Purpose: This study aimed to provide fundamental information about childbirth and antenatal care for pregnancy women and to find differences in mother's antenatal care and delivery service satisfaction between vaginal delivery and cesarean section. Methods: This study was conducted in 4 residential areas and a study sample of 184 postpartum mothers who agreed to collect data. Data was collected from September 1 to October 20 2007 and a structured questionnaire were recruited by the survey. The data was analyzed by t-test and chi-squire test using SPSS/WIN 12.0. Results: There was a significant difference in delivery place between vaginal delivery and cesarean delivery. Only 10.7% of vaginal delivery group delivered in general hospitals, however 24.5% of the cesarean section group delivered in general hospitals. Early antenatal care also showed statistical difference in mode of delivery. 43.5% of vaginal delivery mothers visited hospitals for the detection of pregnancy but 28.3% of cesarean section mothers did that. Vaginal delivery mothers more satisfied with her own delivery method and suggested a vaginal delivery to others. Conclusion: These results suggest that cesarean section mother's sensitivity of early antenatal care was less than vaginal delivery mother. Satisfaction related to delivery care services were higher in the vaginal delivery group.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1479-1480
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• 2011

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.977-990
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• 2015

Food delivery services are well developed in the Republic of Korea, The increase of one person households and the success of app applications influence delivery services these days. We consider a prediction model for the food delivery service based on weather and dates to predict the number of food delivery services in 2014 using various data mining techniques. We use linear regression, random forest, gradient boosting, support vector machines, neural networks, and logistic regression to find the best prediction model. There are four categories of food delivery services and we consider two methods. For the first method, we estimate the total number of delivery services and the posterior probabilities of each delivery service. For the second method, we use different models for each category and combine them to estimate the total number of delivery services. The neural network and linear regression model perform best in the first method, this is followed by the neural network which is the best for the second method. The result shows that we can estimate the number of deliveries accurately based on dates and weather information.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.98-101
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• 2022

Before the delivery platform was established, when consumers ordered by phone to the store, a rider hired by the store directly delivered it or delivered it through a delivery agency. However, as the food service culture develops, delivery platforms grow and more people seek convenience, making it difficult to see orders without delivery platforms now. When ordering using the delivery platform in this way, there is a shortage of riders and a negative effect of increasing delivery costs for supply. Therefore, we propose a joint delivery chat app to solve the problems of the current delivery system and reduce delivery costs.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.8
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• pp.741-746
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• 2007

In this paper, we propose an accuracy analysis method for air-to-ground weapon delivery. The lethality, which is one of the most important factor to evaluate combat effectiveness of a fighter, depends on the capability to improve the accuracy of the conventional weapon delivery. We present error elements which affect the error analysis for air-to-ground weapon delivery from the initial design phase to the final validation phase. And we introduce an accuracy analysis method to reflect the error elements and to evaluate them quantitatively. We assume zero bias-error and consider random error for the weapon delivery accuracy analysis.

• Information Systems Review
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• v.18 no.1
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• pp.25-39
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• 2016

This study suggests a case for people who are unfamiliar with data analysis to equip them in using big data easily without complex programming tasks. Consequently, we investigate whether a food-themed TV program influences the number of delivery food orders with the use of the difference-in-differences method. Results show that the number of delivery food orders significantly increased after broadcasting four of five food-themed TV program episodes, each of which focuses on a particular delivery food. This study contributes to the existing literature by presenting the possibility that food-themed TV programs can positively affect not only the broadcast delivery food stores but also the entire delivery food business. In addition, this study provides practical contributions by recommending a big data analysis methodology that can be easily employed by many people.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2575-2582
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• 2013

In the delivery systems for public construction works, design-build methods such as turn-key and alternative have contributed to improving the quality of structures and developing the construction technology. However, it is pointed out that construction based on a design-build method is likely to waste a budget due to its higher contract price than construction based on a design-bid-build method. Other issues such as contract monopoly, bid rigging and deliberation irregularity in design-build. Since there are not much works have been accomplished to comparatively analyze the actual performance and effect based on delivery methods, discussing and judging the performance and effect of each deliver method with limited information could lead to an error. Thus, this study by extensively investigates the actual project cost data, ranging from contract price to the construction cost of the public construction works and comparatively analyzed the characteristics of each delivery method about cost structure and fluctuation trend. This work is expected to assist stake-holders in properly understanding delivery systems for public construction works and promoting their efficient management.

• Culinary science and hospitality research
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• v.23 no.1
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• pp.37-47
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• 2017

The number of delivery app users and their social impact have increased along with the number smartphone users. Accordingly, the present study attempted to suggest a method to improve the service quality of delivery apps for relevant businesses and researchers by determining the influences of delivery app usage factors on customer satisfaction and reuse intention. The present study distributed and collected questionnaires through on- and offline surveys targeting males and females in their 20s in the Daejeon area. The results of the regression analysis showed that the influence of delivery app usage factors on customer satisfaction was 43.8%, and informativeness, payment and safety, usefulness, and convenience were found to influence the increased satisfaction with the delivery apps. The influence of delivery app usage factors on customers' reuse intention was 37.3%, and among the four usage factors, informativeness and payment and safety were found to be the main factors for increasing the reuse intention. As providing more accurate information is a means to increase customer satisfaction and reuse intention by improving the service quality of the delivery apps, new menus and prices should be rapidly updated.

• Safety and Health at Work
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• v.14 no.2
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• pp.207-214
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• 2023

Background: Occupational safety issues related to food delivery riders emerge with evidence of an increase in associated traffic accidents and injuries along with the rapid growth of the online food delivery business. This paper focuses on food delivery riders' job stress and investigates its relationships with both antecedents and risky riding outcomes. Method: Survey data were collected from 279 Taiwanese food delivery motorcycle riders and analyzed using hierarchical regression analysis. Results: The results show that job overload and time pressure positively impact riders' job stress, while self-efficacy slightly reduces job stress. Job stress positively leads to risky driving behavior and distraction. In addition, time pressure can strengthen the impact of job overload on job stress. Riders' risky riding attitude can also strengthen the impacts of job stress on risky riding behaviors and distraction. Conclusion: This paper advances the literature on online food delivery as well as the occupational safety improvement of food delivery riders. Specifically, this study provides insights into the job stress of food delivery motorcycle riders and the effects of job characteristics and risky behavioral consequences.

• Korean Journal of Acupuncture
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• v.29 no.2
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• pp.200-215
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• 2012

Objectives : The purpose of this study is to investigate the differences of pulse wave parameter between the non delivery group (single women with no childbirth experience) and the delivery group (married women who gave birth(s) in delivery). Methods : Sixty one healthy (non delivery) nulliparous women and fifty three delivery women participated in this study. We used 3 dimensional pulse analyser(3D MAC, DAEYOMEDI co., Korea), which measures radial pulse waveform non-invasively by way of tonometry method at 5 different applied pressure levels. From 114 subjects enrolled, pulse wave parameters were measured on the six locations of Chon, Kwan and Cheok of each hands. Results : Delivery group's pulse showed larger values in the following pulse wave parameters (Energy, Ap, RAI, As, Aw, h1, h2, h4, h4/h1, t, t1, t2, t4, Wm, Wm/t). Non delivery group's pulse indicated larger values in the pulse wave parameters such as Energy of left Chon, difference pulse energy between left and right hand, Ad, h5, h5/h1, t5. Conclusions : According to the analysis result, delivery group's pulse has bigger values in most part of pulse wave parameters, especially in Kwan and Cheok which correspond to Liver, Kidney, and Myeong-mun. We interpret these results that delivery women are more mature and stable in reproductive organs than non delivery group, as they have experienced delivery(deliveries) and child-caring through married life.