• Journal of Distribution Science
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• v.19 no.9
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• pp.113-123
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• 2021

Purpose: BTS Meal at McDonald's was launched in May 2021 in selected countries all over the world. BTS fans in Indonesia bought the BTS Meal and collectively donated to the online delivery drivers as a form of empathy. As a quantitative study, this paper aims to identify the influencing factors in sociopsychology for fans to buy products (BTS Meal) available online using celebrity endorsement strategy, as well as demonstrating social empathy as an extended effect. Research design, data and methodology: empirical research was conducted through an online survey sent to 150 participants using the purposive sampling method. Participants were BTS fans, or ARMYs, who bought BTS Meal and conducted donations. Data were then sorted and processed with path regression. Results: preference and role model influenced the buying behavior; however, these factors influenced social empathy only when mediated by consumption. Preference and role model alone did not have a direct influence on social empathy. Conclusions: Consumer behavior insight is relevant in distribution science. A meal distribution involving brand ambassadors is considerable, particularly with celebrities demonstrating quality in capturing fans' hearts through role modeling. When a distribution is conducted online using a brand ambassador, buying behavior could lead to a social impact.

• Korea Trade Review
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• v.44 no.6
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• pp.151-168
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• 2019

This study aims to investigate the determinants that can influence customer satisfaction and loyalty. Compared to some of the determinants that have been investigated by other scholars before, this study also includes a new approach to mobile food-ordering that has only appeared within the Chinese fast-food industry in recent years. It is very important to test if the convenience of mobile ordering services can influence customer satisfaction, as more and more customers are using mobile apps to order food, especially in the 4th Industrial Revolution Era. Research data mostly was collected from customers who visited one of five famous Western fast-food restaurants (KFC, McDonald's, Pizza Hut, Subway, and Burger King) in China. The results show that not only price, service quality, food quality, and the physical environment can significantly affect customer satisfaction but also the convenience of mobile ordering services, a new determinant accompanied by the fast development of IoT technology.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.3985-3995
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• 2022

The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types of radiation like Total Ionizing Dose (TID) can cause permanent damages on such nanoscale electronic devices, and current state-of-the-art technologies to tackle TID make use of expensive radiation-hardened devices. This paper focuses on a novel and different approach: using machine learning algorithms on consumer electronic level Field Programmable Gate Arrays (FPGAs) to tackle TID effects and monitor them to replace before they stop working. This condition has a research challenge to anticipate when the board results in a total failure due to TID effects. We observed internal measurements of FPGA boards under gamma radiation and used three different anomaly detection machine learning (ML) algorithms to detect anomalies in the sensor measurements in a gamma-radiated environment. The statistical results show a highly significant relationship between the gamma radiation exposure levels and the board measurements. Moreover, our anomaly detection results have shown that a One-Class SVM with Radial Basis Function Kernel has an average recall score of 0.95. Also, all anomalies can be detected before the boards are entirely inoperative, i.e. voltages drop to zero and confirmed with a sanity check.

• Journal of Distribution Science
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• v.20 no.4
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• pp.33-50
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• 2022

Purpose: This pilot study aims to conceptualize a new green marketing mix for retail consumers based on Stimulus-Organism-Response (SOR) model. Moreover, it also aims to conceptualize a testable research model of new green marketing mix with consumers' green purchasing behavior, and to validate the measurement model with traditional as well as modern suggested validating techniques. Research design, data and methodology: A pilot test data from 75 respondents of retail buyers of energy-efficient electric appliances in Pakistan were tested for the confirmatory factor analysis (CFA) by examining a measurement model of the construct through different validation techniques (like Composite Reliability, McDonald's Omega (ω), rho (ρA), HTMT, etc.) as heretofore these scales were not validated through these modern methods. Results: The results revealed that the instrument has a certain degree of reliability and validity through different validating techniques. All the measurement items reach the suggested threshold values. Conclusions: Therefore, this study conceptualized an integrated framework of all the three stakeholders of the environment (government, companies, and public or consumers) to achieve environmental sustainability. Hence, future studies can extend these findings and conduct a full-scale study to establish an empirical relationship between the 5G's of green marketing for retailing businesses and consumers' green purchase behavior.

• Journal of the Korean Society of Food Culture
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• v.23 no.6
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• pp.720-728
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• 2008

The objective of this article is to examine Korean consumers' perception level of the country-of-origin of brand (COB) of global restaurant franchises. Although global brands have rushed onto the Korean food service market since 1980, there has been little or no research conducted regarding consumers' perception of COB of global restaurant franchises. In this study, we surveyed consumers to determine their perception of COB for 27 foreign global restaurant brands; specifically, we attempted to determine whether or not Korean consumers could correctly recognize the COB of each brand. The results of this research revealed that Korean consumers correctly perceived the COB of certain restaurant brands, and incorrectly perceived some other brands. For instance, Korean consumers' perception level of the COB of McDonald's and KFC were quite high, and conversely their perceptions of the COB of Outback Steakhouse and Pohoa were relatively low. When consumers select a restaurant brand, COB image was shown to be more influential than brand image.

• Nuclear Engineering and Technology
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• v.55 no.12
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• pp.4408-4425
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• 2023

Alarm flood due to abnormality propagation is the most difficult alarm overloading problem in nuclear power plants (NPPs). Root-cause analysis is suggested to help operators in understand emergency events and plant status. Multilevel Flow Modeling (MFM) has been extensively applied in alarm management by virtue of the capability of explaining causal dependencies among alarms. However, there has never been a technique that can identify the actual root cause for complex alarm situations. This paper presents an automated root-cause analysis system based on MFM. The causal reasoning algorithm is first applied to identify several possible root causes that can lead to massive alarms. A novel root-cause ranking algorithm can subsequently be used to isolate the most likely faults from the other root-cause candidates. The proposed method is validated on a pressurized water reactor (PWR) simulator at HAMMLAB. The results show that the actual root cause is accurately identified for every tested operating scenario. The automation of root-cause identification and ranking affords the opportunity of real-time alarm analysis. It is believed that the study can further improve the situation awareness of operators in the alarm flooding situation.

• Clinical Endoscopy
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• v.56 no.6
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• pp.790-794
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• 2023

Background/Aims: Situs inversus viscerum (SIV) is a congenital condition defined by left-to-right transposition of all visceral organs. This anatomical variant has caused technical challenges in endoscopic retrograde cholangiopancreatography (ERCP). Data on ERCP in patients with SIV are limited to case reports of unknown clinical and technical success rates. This study aimed to evaluate the clinical and technical success rates of ERCP in patients with SIV. Methods: Data from patients with SIV who underwent ERCP were retrospectively reviewed. The data were collected by querying the nationwide Veterans Affairs Health System database for patients diagnosed with SIV who underwent ERCP. Patient demographics and procedural characteristics were collected. Results: Eight patients with SIV who underwent ERCP were included. Choledocholithiasis was the most common indication for ERCP (62.5%). The technical success rate was 63%. Subsequent ERCP with interventional radiology-assisted rendezvous has increased the technical success rate to 100%. Clinical success was achieved in 63% of cases. Among cases of subsequent rendezvous ERCP after conventional ERCP failure, clinical success was achieved in 100%. Conclusions: The clinical and technical success rates of ERCP in patients with SIV were both 63%. In patients with SIV in whom ERCP fails, interventional radiology-assisted rendezvous ERCP can be considered.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.78.3-78.3
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• 2015

About 70 high redshift quasars with $z{\geq}5$ have been discovered through combinations of standard broad-band filters to distinguish them from contaminating sources. However, among the discovered quasars so far, there is a redshift gap at $5{\leq}z{\leq}6$ due to the limitation of traditional filter sets and selection techniques. To understand the early mass growth of supermassive black holes and the final stage of the cosmic reionization, it is important to find a statistically meaningful sample of quasars with various physical properties. Here we suggest a new selection technique of high redshift quasars using medium-band filters: nine filters with bandwidths of 50nm and central wavelengths from 625 to 1025nm. Photometry with these medium-bands traces the spectral energy distribution (SED) of a source, similar to spectroscopy with R~15. We installed these filters to SED camera for QUasars in EArly uNiverse (SQUEAN) on the 2.1m telescope at McDonald Observatory, and conducted test observations of known high redshift quasars at $4.7{\leq}z{\leq}6.1$ and also dwarf stars for comparison. We found differences in SED shapes between high redshift quasars and dwarf stars, determined their locations on color-color diagrams, and demonstrated that the medium-band filters can enhance the efficiency of selecting robust quasar candidates in this redshift range. In this poster, we propose an effective selection method of high redshift quasars using these medium-band filters and discuss its effect on our high redshift quasar survey.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.51.4-52
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• 2015

From 2010 to 2014, CQUEAN (Camera for QUasars in EArly uNiverse) has been operated for the observation at the 82 inch Otto Struve Telescope of the McDonald Observatory, US. This camera is optimized at wavelength range of 0.7 - 1.1 um with seven (g', r', I', z', Y, Iz and Is) broad-band filters for the survey of high redshift (z > 5) quasars in the early universe. We are upgrading this system to identify more details of SED (Spectral Energy Distribution) of quasar candidates and other astronomical sources. The SQUEAN is comprised of a focal reducer, a CCD camera, a new filter wheel, new auto guiding system and new control software. The new filter wheel consists of interchangeable cartridges for various wavelength and size of filters. 50 nm medium bandwidth filters from 600 - 1050 nm, seven SDSS (Sloan Digital Sky Survey) filters and Johnson-Cousin BVRI filters are installed for now. We also have a plan to use narrow band interference filters to classify high redshift quasars or to obtain SEDs of interesting astronomical sources in details more efficiently. We also developed KAP82 (Kyung Hee University Auto guiding Package for 82 inch telescope) for auto guiding software. CQUEAN and SQUEAN have been developed by CEOU (Center for the Exploration of the Origin of the Universe).

• The Bulletin of The Korean Astronomical Society
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• v.38 no.2
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• pp.68.2-68.2
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• 2013

Camera for QUasars in EArly uNiverse (CQUEAN) is an optical CCD camera system made by Center for Exploration of the Origin of the Universe (CEOU). CQUEAN is developed for follow-up observation of red sources such as high-redshift quasar candidates ($z{\geq}5$), gamma-ray bursts (GRB), brown dwarfs and young stellar objects. The CQUEAN is composed of a science camera with deep-depletion CCD chip which is sensitive at around $1{\mu}m$, a set of custom-made wide-band filters for detection of quasar candidates at z~5, and a guide camera. A focal reducer was developed to secure $4.8^{\prime}{\times}4.8^{\prime}$ field of view, and an in-house user software for efficient data acquisition. CQUEAN was attached to 2.1m Otto Struve Telescope in McDonald Observatory, USA, in August 2010. About 1000 quasar candidates including 3 confirmed with follow-up spectroscopy, have been observed so far, and many high-z galaxy cluster candidates, GRBs and supernovae were also observed. And monitoring of HBC 722, a young stellar object, is under way since 2011. Further enhancement of CQUEAN including the introduction of narrow-band filters is planned.