• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.215-225
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• 2024

This study investigated the effect of the delivery service quality of Mongolian online shopping on the customer value, customer trust, and relationship persistence intention of Mongolian consumers. Through this, the purpose of this study is to understand the priorities of the quality conditions of delivery services (accuracy, economy, information, safety, tangibility, etc.) that Mongolian consumers value. The empirical analysis results of this study are as follows. First, the effect of delivery service quality on the intention to continue the relationship showed partially significant results. In other words, economics, information, and safety, excluding accuracy and tangibility, influenced the intention to continue the relationship. Second, the effect of delivery service quality on customer value was partially significant. In other words, accuracy, economy, safety, and tangibility, excluding informativity, influenced customer value. Third, the effect of delivery service quality on customer reliability was partially significant. In other words, economics, safety, and tangibility, excluding accuracy and informativity, influenced customer reliability. Fourth, the hypothesis of customer value on customer reliability was adopted, followed by the hypothesis of customer value on relationship continuity intention. Finally, the hypothesis of customer reliability on relationship continuity intention was adopted.

• Journal of the Korea Society for Simulation
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• v.20 no.3
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• pp.59-67
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• 2011

This paper proposes a model to analyze the fault factors of air-to-ground weapon delivery utilizing software fault localization methods. In the previous study, to figure out the factors to affect the accuracy of air-to-ground weapon delivery, the FBEL (Factor-based Error Localization) method had been proposed and the fault factors were analyzed based on the method. But in the study, the correlation between weapon delivery accuracy and the fault factors could not be revealed because the firing accuracy among several factors was fixed. In this paper we propose a more precise fault analysis model driven through a study of the correlation among the fault factors of weapon delivery, and a method to estimate the possibility of faults with the limited number of test cases utilizing the model. The effectiveness of proposed method is verified through the simulation utilizing real delivery data. and weapons delivery testing in the evaluation of which element affecting the accuracy of analysis that was available to be used successfully.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.299-303
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• 2018

Generally, when predicting the accuracy of the anti-air artillery system, the error is classified as fixed bias, variable bias, and random error. Then the standard deviation on the target is expressed as the square root of the squared sum of each error value which comes from the random error and variable bias and in the case of fixed bias, the mean value is shifted as the sum of errors from the fixed bias. At this time, the variables indicating the displacement of the direction of azimuth and elevation direction with regard to the change of the unit value of each error are weighted. These errors are then used to predict the system's delivery accuracy through a normally distributed integral. This paper presents a method of predicting system accuracy by considering the correlation of errors. This approach shows that it helps to predict the delivery accuracy of the system, precisely.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.2
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• pp.14-27
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• 2018

Purpose - The purpose of this study is to analyze the effect of 'delivery service quality' of online fresh food shopping malls on 'e-satisfaction' and 'repurchase intention' of online customers. Research design, data, and methodology - To demonstrate the relationship between the delivery service quality of online fresh food shopping mall and the e-customer satisfaction and repurchase intention, the research model was designed with 5 sub-factors (promptness, accuracy, economy, safety, information) based on the contents of previous studies. The data collection is conducted with sampling survey. The participants are customers who have visited, purchased and received their orders within the last 6 months in online fresh food shopping malls. This study analyzed collected data, then confirmed and finalized the hypothesis by using IBM SPSS Statistics 21.0 statistical program. Results - Hypothesis 1: The service quality of online fresh food shopping mall will have a statistically significant effect on online customers' e-customer satisfaction. Hypothesis 2: The service quality of online fresh food shopping mall will affect the repurchase intention of online customers. Hypothesis 3: The e-customer satisfaction of online fresh food shopping mall will have a statistically significant effect on repurchase intention. Among the 5 sub-factors (promptness, accuracy, economy, safety, information) of delivery service quality, three factors such as promptness, accuracy, and safety have stronger influence on e-satisfaction and repurchase intention of online customers. Conclusions - This study has proven the feasibility and viability of the hypotheses that 1) The excellent delivery service quality of an online fresh food shopping mall primarily affects e-customer satisfaction; and that 2) Ecustomer satisfaction will secondarily serve to improve repurchase intention.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.688-701
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• 2020

Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.

• The Journal of Information Systems
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• v.27 no.4
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• pp.129-147
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• 2018

Purpose The purpose of this study is to identify the effects of users' perceived value of food delivery Apps and information quality on acceptance and intention to reuse of food delivery Apps. Design/methodology/approach This study made a design of the research model by integrating the factors of perceived value and information quality with the acceptance and continued usage of delivery Apps on the basis of the TAM (Technology Acceptance Model). Findings The results of this study suggests that perceived emotional value and monetary value, accuracy and timeliness of information have significant positive effects on usefulness and easiness of food delivery Apps. Meanwhile, both usefulness and easiness of food delivery Apps have significant positive influences on users' continually use intention. Furthermore, implications in terms of the findings of this study are discussed.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.537-544
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• 2008

The purpose of this study is to find essential delivery service quality elements of internet shopping mall and to investigate the relationship among delivery service quality, satisfaction, trust, and loyalty in the area of internet shopping malls. To do so, theoretical literature review and empirical survey accomplished. The empirical results of this study are summarized as follows. Firstly, accuracy, quickness, safety, information providing, and institutional guarantee have a positive influence on satisfaction. Secondly, accuracy, quickness, information providing, and institutional guarantee have a positive influence on trust. Lastly, satisfaction has a positive influence on trust, and both of satisfaction and trust have a positive influence on loyalty in internet shopping malls. From the analyses of this study, we offer several implications both theoretical and practical perspective.

• The Journal of Korean Society for Radiation Therapy
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• v.10 no.1
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• pp.30-44
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• 1998

Accurate delivery of doses using a high dose rate(HDR) brachytherapy, remote afterloading system(RALS) depends on knowing the strength of the radioactive source at the time of treatment, the precision and consistency of the timer, and the ability of the unit to position the source at the proper dwell location along the applicator. Periodic Quality Assurance(QA) on HDR machines is a part of the standard protocol of any user. The safety of the patient & staff, positional accuracy, temporal accuracy, and dose delivery accuracy are periodically(weekly, quarterly, monthly) estimated using HDR source(Ir-192), treatment planning devices, measurement devices, and overall treatment devices with regard to treatment delivery. The overall measurement results are estimated successfully and assessed its clinical significance. As a result, our HDR brachytherapy units has been very accurate until now. The QA program protocol permits routine clinical use and provides a high confidence level in the accurate operation of HDR units. Therefore, regular QA of HDR brachytherapy is essential for successful treatment.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.47-52
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• 2023

In this paper a new fuzzy prediction is designed and developed to predict the type of delivery based on 7 factors. The developed system is highly needed to give a recommendation to the family excepting baby and at the same time provide an advisory system to the physician. The system has been developed using MATLAB and has been tested and verified using real data. The system shows high accuracy 95%. The results has been also checked one by one by a physician. The system shows perfect matching with the decision of the physician.