• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.41-50
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• 2021

As COVID-19 spread widely, and rapidly, the number of misinformation is also increasing, which WHO has referred to this phenomenon as "Infodemic". The purpose of this research is to develop detection and rectification of COVID-19 misinformation based on Open-domain QA system and text similarity. 9 testing conditions were used in this model. For open-domain QA system, 6 conditions were applied using three different types of dataset types, scientific, social media, and news, both datasets, and two different methods of choosing the answer, choosing the top answer generated from the QA system and voting from the top three answers generated from QA system. The other 3 conditions were the Closed-Domain QA system with different dataset types. The best results from the testing model were 76% using all datasets with voting from the top 3 answers outperforming by 16% from the closed-domain model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.114-121
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• 2010

Traditionally Nuclear Research and Development (R&D) result has been big influence on other industries and societies and it requires large scale investments and study period. So it is essential to apply Quality Assurance (QA) for systematic R&D management. This paper investigates QA System for U.S. Nuclear R&D and reviews QA elements. Based on this investigation, we applied QA requirements to Nuclear Hydrogen R&D project, and the scope of application be enlarged as R&D stage in progress. We also present QA system improvement way through consideration for Nuclear Hydrogen Project's QA application. As the need for QA in R&D is expected to increase in the future, it is necessary to prepare guidelines for R&D QA.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.1-14
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• 2004

Nuclear project company establishes and maintains its QA system in the conformance with applicable Codes & Standards and contract provisions. Certifying agency(e.g., Korea Electric Association) or project owner appraises the effectiveness of the company QA system by surveying or auditing it. However, although the company fulfills the requirements of this survey/audit, the capability level of its nuclear QA system is not appraised numerically and developed in that KEPIC QAP-1, used by the company as a nuclear QA guidebook, does not describe an approach for managing the capability level of the QA system. This study evaluates the characteristics of QAP-1 from the viewpoint of SE-CMM(Capability Maturity Model for Systems Engineering) in order to suggest a possible solution.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.73-79
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• 2024

The smart tourism chatbot service provide smart tourism services to users easily and conveniently along with the smart tourism app. In this paper, the tourism information QA (Question Answering) service is proposed based on the task-oriented smart tourism chatbot system [13]. The tourism information QA service is an MRC (Machine reading comprehension)-based QA system that finds answers in context and provides them to users. The tourism information QA system consists of NER (Named Entity Recognition), DST (Dialogue State Tracking), Neo4J graph DB, and QA servers. We propose tourism information QA service uses the tourism information NER model and DST model to identify the intent of the user's question and retrieves appropriate context for the answer from the Neo4J tourism knowledgebase. The QA model finds answers from the context and provides them to users through the smart tourism app. We develop the tourism information QA model by transfer learning the bigBird model, which can process the context of 4,096 tokens, using the tourism information QA dataset.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.1-8
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• 2002

This paper investigates different QA standards such as KEPIC QAP, KEPIC END 1200, ISO/1EC 17025 etc. and as a result defines QA elements for Nuclear Power Plant equipment qualification(EQ) in Korea. This paper also proposes a practical QA certification system appropriate for an Integrated Organization for EQ which is being planned to be established in Korea. Since the level of the Korean EQ technology is comparatively low, the Korean manufacturers of the Nuclear Power Plant(NPP) equipment have usually used overseas EQ services. The EQ related organizations in Korea are making efforts to construct the integrated EQ system. In connection with this, it is required that the QA elements and QA certification system suitable for EQ in Korea be developed.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.668-674
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• 2020

Quality Assurance (QA) is essential to provide effective hyperthermia, but in the case of a problem with a hyperthermia cancer therapy system in Korea, the manufacturers or venders are repairing and maintaining the system. In Korea, if an error occurs in the hyperthermia system, the manufacturer and sales agent are repairing and maintaining it. There is no QA protocol suitable for the domestic situation. This study is based on the QA guidelines recommended by institutions such as European Society for Hyperthermia Oncology (ESHO), Hellenic Society of Oncologic Hyperthermia (HSOH), and the results of questionnaires to hospitals that have hyperthermia cancer therapy systems in Korea. By developing an optimized QA protocol, we aim to reduce the errors and inaccuracies that can occur in during hyperthermia such as measurement of temperature, instrumentation, and heat transfer. In addition, we will visit a hospital with a hyperthermia cancer therapy system in Korea to perform a QA based on this study, and study to specify tolerances and accurate QA set-up parameters using the measured QA results.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.144-147
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• 2015

Question Answering (QA) services can provide exact answers to user questions written in natural language form. This research focuses on how to build a QA system for a specific domain area. Online and offline QA system architecture of targeted domain such as domain detection, question analysis, reasoning, information retrieval, filtering, answer extraction, re-ranking, and answer generation, as well as data preparation are presented herein. Test results with an official Frequently Asked Question (FAQ) set showed 68% accuracy of the top 1 and 77% accuracy of the top 5. The contribution of each part such as question analysis system, document search engine, knowledge graph engine and re-ranking module for achieving the final answer are also presented.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.581-585
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• 2023

Question Answering(QA)은 질문과 문맥에 대한 정보를 토대로 적절한 답변을 도출하는 작업이다. 이때 입력으로 주어지는 문맥 텍스트는 대부분 길기 때문에 QA 모델은 이 정보를 처리하기 위해 상당한 컴퓨팅 자원이 필요하다. 이 문제를 해결하기 위해 본 논문에서는 요약 모델을 활용한 요약 기반 QA 모델 프레임워크를 제안한다. 이를 통해 문맥 정보를 효과적으로 요약하면서도 QA 모델의 컴퓨팅 비용을 줄이고 성능을 유지하는 것을 목표로 한다.

• Journal of Korean Society for Quality Management
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• v.23 no.1
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• pp.74-94
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• 1995

Through the application of Quality Assurance(QA) techniques in R&D activities, we can approach for cost reduction and productivity improvement with high reliability. Application of QA systems in R&D in developed countries were studied, a enquete survey was performed to investigate researcher's understanding of QA in R&D. As a result of this study, it is considered desirable that QA system be applied partially to the feasible work areas at first, and the scope of application be enlarged to extended areas, later. For these aims, various and feasible QA system should be developed and established. As the need for quality assurance in R&D is expected to be increased continuously in the future, it is imperative for us to be prepared for the application of QA system in R&D activities.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.429-437
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• 2022

Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.