• Journal of Digital Convergence
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• v.18 no.10
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• pp.517-526
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• 2020

This study aimed to understand the effects on preventive behavior intention to particulate matter by risk perception attitude and anxiety. Also, to expand applicable target and range of RPA model, add anxiety. To measure main variables of RPA model, did a survey with 570 college students. With a data, analyzed by correlation, one-way ANOVA and three-way ANOVA. As a result, perceived risk and efficacy effect on intention to preventive action and information seeking. And an anxiety factor effects on intention to preventive action and information seeking also. And distinguished 4 groups of RPA model, there were meaningful differences between intention to preventive action and information seeking by groups, and a factor of anxiety effects certain groups. As a result, it can suggest how to plan and enforce message on preventive campaign of particulate matter. In follow research, with social psychological factors, it will helpful to identify health activities about particulate matters.

• Parasites, Hosts and Diseases
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• v.59 no.2
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• pp.167-171
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• 2021

Haemonchosis remains a significant problem in small ruminants. In this study, the assay of recombinase polymerase amplification (RPA) combined with the lateral flow strip (LFS-RPA) was established for the rapid detection of Haemonchus contortus in goat feces. The assay used primers and a probe targeting a specific sequence in the ITS-2 gene. We compared the performance of the LFS-RPA assay to a PCR assay. The LFS-RPA had a detection limit of 10 fg DNA, which was 10 times less compared to the lowest detection limit obtained by PCR. Out of 24 goat fecal samples, LFS-RPA assay detected H. contortus DNA with 95.8% sensitivity, compared to PCR, 79.1% sensitivity. LFS-RPA assay did not detect DNA from other related helminth species and demonstrated an adequate tolerance to inhibitors present in the goat feces. Taken together, our results suggest that LFS-RPA assay had a high diagnostic accuracy for the rapid detection of H. contortus and merits further evaluation.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.129-138
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• 2021

Many organizations are applying robotic process automation (RPA) to automate repetitive and rule based tasks to enhance the accuracy and efficiency of works. Some members are willing to join the projects hoping to eliminate annoying and meaningless tasks, but others are resisting this innovation fearing that they may lose their jobs. In this study, both positive and negative antecedents are posited to influence the performance in adopting RPA. The effects of relative advantage, compatibility, change management effect, innovation resistance and satisfaction, conclusively to performance improvement were examined via a survey of 109 employees involved in the 11 RPA projects in a manufacturing company, and the structural equation model analysis. The research considering the consumer characteristics of the innovation resistance model can be followed for the development of individualized change management strategy.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.46-54
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• 2021

As the realization of the 4th industrial revolution is approaching, the paradigm of the corporate work environment is changing to digital, from the traditional work environment. In particular, technologies like RPA(robotic process automation) and chatbot reduce the need for human labor or task by automating simple repetitive tasks, enabling humans to focus on more valuable tasks. In this study, corporates operating expense management services in public cloud computing environments develop a cloud module that simplifies expense report management by grafting robotic process automation and chatbot technology. According to the result of the expert evaluation, the developed system marked 80.3% of satisfaction levels and the highest satisfaction level 94% was confirmed in terms of easy of use. Based on the research result, future research can be suggested to expand the works occurring inside and outside the company to a single RPA environment by additionally linking the work system related to expense management.

• The Plant Pathology Journal
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• v.38 no.6
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• pp.665-672
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• 2022

Cymbidium mosaic virus (CymMV) is one of economically important viruses that cause significant losses of orchids in the world. In the present study, a reverse transcription recombinase polymerase amplification (RT-RPA) assay combined with a lateral flow immunostrip (LFI) assay was developed for the detection of CymMV in orchid plants. A pair of primers containing fluorescent probes at each terminus that amplifies highly specifically a part of the coat protein gene of CymMV was determined for RT-RPA assay. The RT-RPA assay involved incubation at an isothermal temperature (39℃) and could be performed rapidly within 30 min. In addition, no cross-reactivity was observed to occur with odontoglossum ringspot virus and cymbidium chlorotic mosaic virus. The RT-RPA with LFI assay (RT-RPA-LFI) for CymMV showed 100 times more sensitivity than conventional reverse transcription polymerase chain reaction (RT-PCR). Furthermore, the RT-PCR-LFI assay demonstrated the simplicity and the rapidity of CymMV detection since the assay did not require any equipment, by comparing results with those of conventional RT-PCR. On-site application of the RT-RPA-LFI assay was validated for the detection of CymMV in field-collected orchids, indicating a simple, rapid, sensitive, and reliable method for detecting CymMV in orchids.

• Knowledge Management Research
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• v.23 no.4
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• pp.21-41
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• 2022

With the development of AI and digital technologies such as big data, metaverse, and the Internet of Things, Robotic Process Automation (RPA) has brought great development and change to companies. Among these realistic industrial areas by RPA, the call center service area, which consists of a combination of complex high-tech systems and professional operation groups, has now reached the stage where AI is conducting counseling. The evolution of this digital transformation has become an important direction of change in the digital-related industry sector. Along with these changes, there have been many changes in the technical stress of the members of the organization within the RPA organization and their solutions. In this study, the representative psychological mechanisms were presented as Digital Shadow Work (DSW), expressed as 'unpaid work', and Organizational Citizenship Behavior (OCB), which is 'an act that helps organizations other than their duties'. This study theoretically contributes to the extension of the DSW concept to the organizational members.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.127-132
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• 2006

K-NN (k-Nearest Neighbors), which is a well-known instance-based learning algorithm, simply stores entire training patterns in memory, and uses a distance function to classify a test pattern. K-NN is proven to show satisfactory performance, but it is notorious formemory usage and lengthy computation. Various studies have been found in the literature in order to minimize memory usage and computation time, and NGE (Nested Generalized Exemplar) theory is one of them. In this paper, we propose RPA (Recursive Partition Averaging) and IRPA (Incremental RPA) which is an incremental version of RPA. RPA partitions the entire pattern space recursively, and generates representatives from each partition. Also, due to the fact that RPA is prone to produce excessive number of partitions as the number of features in a pattern increases, we present IRPA which reduces the number of representative patterns by processing the training set in an incremental manner. Our proposed methods have been successfully shown to exhibit comparable performance to k-NN with a lot less number of patterns and better result than EACH system which implements the NGE theory.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5161-5166
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• 2014

Our aim was to access the association between recreational physical activity (RPA) and risk of ovarian cancer (OC). The studies were retrieved from the PubMed and Embase databases up to February 20th, 2014. Risk ratios (OR) and 95% confidence intervals (CI) were used to estimate effect sizes. Random-effects or fixed-effects models were used to pool the data. The trim and fill method was applied for sensitivity analysis. Begg's rank correlation test and Egger's regression asymmetry test were employed to assess the publication bias. A total of 6 studies (435398 participants including 2983 OC patients) were included in this meta-analysis. The overall estimate indicated that there was weakly inverse association between RPA and OC risk (RR=0.90, 95%CI: 0.72-1.12, p=0.335). Meanwhile, for prospective cohort studies, a result consistent with the overall estimate was obtained (RR=1.12, 95% CI: 0.88-1.42, p=0.356). However, for case control studies, the pooled estimate of RR was 0.76 (95%CI: 0.64-0.90, p=0.002), indicating a clear significant association between RPA and OC risk. In addition, the sensitivity analysis indicated a significant link between RPA and risk of OC after removing Lahmann's study (RR=0.80, 95% CI: 0.68-0.93, p=0.004). No significant publication bias was found (Begg's test: p=1.00; Egger's test: p=0.817). In conclusion, our meta-analysis indicated a weakly inverse relationship between RPA and the occurrence of OC.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.463-463
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• 2011

집속이온빔장치(Foucused Ion Beam)에서 사용하는 액체금속이온원(Liquid Metal Ion Source)은 고 전류밀도, 고 휘도, 낮은 에너지퍼짐 등 많은 장점이 있다. 대부분의 집속이온빔 장치에서 플라즈마 이온소스에 비해 빔의 직경이 작고 GFIS 보다 다루기 쉬워 액체금속이온원을 많이 사용하고 있다. 기존에 사용하던 액체금속이온원에 서프레셔라는 새로운 전극을 추가시켜 팁과 갈륨저장소, 서프레셔, 추출극 구조로 만들었다. 이 연구를 위해 RPA(Retarding Potential Analyser)를 제작 하였다. RPA는 두 개의 메쉬와 하나의 컬렉터로 이루어져 있으며, 액체금속이온과 플로팅 되어있는 RPA에 전압의 차이를 주기위해 베터리로 제작한 파워로 액체금속이온에 인가되는 전압에 + 90V, -90V까지 제어가 가능하게 만들었다. 본 연구에서는 서프레셔의 유무에 따른 액체금속이온원의 에너지 퍼짐에 대해 연구하였다. 추출극에 전압 변화를 주어 방출되는 전류를 5uA, 10uA, 15uA, 20uA로 변화시켜가며 RPA에서 측정되는 전류를 가지고 전류-전압의 관계를 보았고, 에너지 퍼짐정도를 알았다. 마찬가지로 서프레셔에 전압 변화를 주어 전류-전압 관계, 에너지 퍼짐정도를 알았다.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.113-128
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• 2021

In the rapidly developing 4th industrial revolution. RPA is increasing in use at home and abroad due to its advantages of simplifying workflow and providing flexibility and scalability at the same time. Thus, this paper conducted an empirical study on companies using RPA to determine which factors affect the intention to use the services provided by RPA systems. As system characteristics, exogenous variables were selected as information quality, system quality, and service quality of the information system success model. The endogenous variables were selected as the system acceptance factors for the performance and effort expectancy of the integrated technology acceptance model, and the perceived economic values and functional values were additionally selected. For the purpose of this study, a structured questionnaire was used for empirical analysis and the proposed hypothesis was verified through the path analysis of structural equations. As a result of the study, there was no significant relationship between service quality and effort expectancy, between service quality and economic value, and it was verified that the relationship between other factors was positively significant.