• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.3
• /
• pp.59-69
• /
• 2021

t Global logistics companies are developing and introducing logistics systems to provide competitive logistics services. Especially as IT develops and mobile functions become more convenient, the Mobile TMS(Transportation Management System) is being introduced as a more convenient system for delivery workers and office managers. However, the success of such a system depends on the system developer who understand the site accurately and office managers and couriers who are using it in the field. The purpose of this paper is to understand which characteristics influence in exploiting new systems focusing on the attitudes of users who use the system daily, and we analyze it through the TAM(Technology Acceptance Model). According to the analysis result, when smart phone has become popular, users have concluded that usefulness is more significant than ease in acceptance of the systems. As a result, we draw suggestions that the focus should be on usefulness rather than ease of system at the stage of system developed.

• (The) Korean Journal of Advertising
• /
• v.28 no.6
• /
• pp.7-34
• /
• 2017

The debate surrounding advertising effectiveness is not to be overstated as a major source of advertising research. However, there is still a lack of discussion on the model for measuring the effects of government and public service advertising. This study focuses on this point and develops an index model that can evaluate government advertising. For this purpose, we conducted a survey of 800 respondents in 7 major cities. Based on the creativity evaluation factors (originality, clarity, and appropriateness) of government advertising and the evaluation factors (interest, avoidance, and relevance) of policy contents, a causal model that affects the cognition, attitude, and behavioral responses of the audience was set up. As a result of analysis, originality, clarity, interest, and relevance except for appropriateness and avoidance were meaningful variables for creating government advertising effect such as policy understanding, audience attitude, word of mouth intention of policy. In addition, policy understanding and audience attitude were the main mediating variable influencing the word of mouth intention of policy. Based on research results, this paper discussed the direction for creating effective government and public service advertising in the future.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.8
• /
• pp.1111-1120
• /
• 2022

Image Capturing is a matter of viewing images and describing images in language. The problem is an important problem that can be solved by keeping, understanding, and bringing together two areas of image processing and natural language processing. In addition, by automatically recognizing and describing images in text, images can be converted into text and then into speech for visually impaired people to help them understand their surroundings, and important issues such as image search, art therapy, sports commentary, and real-time traffic information commentary. So far, the image captioning research approach focuses solely on recognizing and texturing images. However, various environments in reality must be considered for practical use, as well as being able to provide image descriptions for the intended purpose. In this work, we limit the universally available Korean and English image captioning models and text generation techniques for the purpose of image captioning.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.189-195
• /
• 2022

The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.95-95
• /
• 2022

남극에 상주하는 여러 과학기지 근처 해역에서 5 mm 이하의 크기를 가지는 미세플라스틱이 다량 발견되고 있으며, 그에 따라 과학기지에서 방출하는 방류수가 미세플라스틱의 지역 소스로 여겨지고 있다. 현재는 미세플라스틱의 오염 수준을 이해하는 정도에서 그쳤으며, 미세플라스틱의 물리적인 운송 메커니즘을 이해하고자 하는 시도는 상대적으로 부족한 실정이다. 남극 세종과학기지 근처에서도 미세플라스틱이 발견됨에 따라 본 연구에서는 과학기지 인근인 마리안 소만(Marian Cove)에서의 미세플라스틱 운송 메커니즘을 확인하고자 한다. 연구 대상 지역에서 미세플라스틱의 체류 시간은 짧기 때문에, 미세플라스틱에 생물오손 또는 풍화작용이 일어나기에는 충분하지 않은 시간이다. 따라서, 마리안 소만에서 발견된 미세플라스틱에 대해 연직 속도에 따라 확실히 가라앉는 그룹과 확실히 떠오르는 그룹으로 나누어 입자의 이송 메커니즘을 파악하였다. 해수 유동 모델과 파랑 모델을 결합하여 마리안 소만의 해수 흐름을 재현하였으며, 과학기지 방류 구 위치에서 방출된 미세플라스틱의 이송 경로는 라그랑지안 입자 추적(Lagrangian Particle Tracking) 방법을 이용하였다. 본 연구에서는 미세플라스틱의 궤적을 설명하기 위해 입자의 이송에 영향을 주는 힘을 결정할 수 있는 무차원 수 HK angle을 제안하였으며, 이를 이용하여 마리안 소만에서의 미세플라스틱 이송을 설명하였다. 대상 해역 내에서 확실히 떠오르는 그룹은 표층 흐름을 따라 해안선에 도달하였으며, 확실히 가라앉는 그룹은 방출 직후 빠르게 가라 앉으며 방출 위치 근처인 해저에 집적되었다. HK angle에 따르면, 마리안 소만의 연직 흐름이 강할 경우에는 미세플라스틱의 특성에 관계없이 해수 흐름을 따라 이송됨을 확인하였다. 더 나아가, 조석에 따라 미세플라스틱의 방출 시간을 달리하고, 방출 위치를 달리하여 모의함으로써 마리안 소만과 같이 작은 만에서 미세플라스틱 오염도를 줄이기 위한 적절한 방류수 방출 시간 및 위치를 제안하였다.

• Journal of the Health Care and Life Science
• /
• v.10 no.1
• /
• pp.25-38
• /
• 2022

In this study, a SQL practice model for understanding EMR certification standards and data management practice for healthcare information managers was presented. This study is to practice prescription information management for the functionality of EMR certification standards through the health and medical information management practice program. The data management practice according to the EMR certification criteria consists of medicaiton master management and medicaiton name inquiry, medicaiton prescription inquiry, previous medication prescription inquiry after converting medical care information, examintaion result inquiry when administering medicine, examination prescription records inquiry. Additionally, dietary prescription records, other prescription records, return reason inquiry when administering medicine is stopped are included. Accordingly, using the prescription management database of the MS-ACCESS-based health care information management education system, a SQL statement was written that can inquire the contents of the prescription information management certification standards. In the EMR certification practice, you can understand the certification standards more easily by directly extracting the query items required by the certification standards using SQL and it will be possible to improve the data management and information generation ability to extract data other than the certification standards.

• Knowledge Management Research
• /
• v.25 no.3
• /
• pp.99-119
• /
• 2024

This research aims to develop high-quality generative AI services by overcoming the limitations of existing Retrieval-Augmented Generation (RAG) models and implementing an enhanced graph-based RAG system to improve knowledge-based question answering (QA) systems. While traditional RAG models demonstrate high accuracy and fluency by utilizing retrieved information, their accuracy can be compromised due to the use of pre-loaded knowledge without rework. Additionally, the inability to incorporate real-time data after the RAG configuration leads to a lack of contextual understanding and potential biased information. To address these limitations, this study implements an enhanced RAG system utilizing graph technology. This system is designed to efficiently search and utilize information. In particular, LangGraph is employed to evaluate the reliability of retrieved information and to generate more accurate and improved answers by integrating various information. Furthermore, the specific operation method, key implementation steps, and case studies are presented with implementation code and verification results to enhance understanding of Advanced RAG technology. This research provides practical guidelines for actively implementing enterprise services utilizing Advanced RAG, making it significant.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.251-273
• /
• 2022

Recently, research on applying text analysis to deep learning has steadily continued. In particular, researches have been actively conducted to understand the meaning of words and perform tasks such as summarization and sentiment classification through a pre-trained language model that learns large datasets. However, existing pre-trained language models show limitations in that they do not understand specific domains well. Therefore, in recent years, the flow of research has shifted toward creating a language model specialized for a particular domain. Domain-specific pre-trained language models allow the model to understand the knowledge of a particular domain better and reveal performance improvements on various tasks in the field. However, domain-specific further pre-training is expensive to acquire corpus data of the target domain. Furthermore, many cases have reported that performance improvement after further pre-training is insignificant in some domains. As such, it is difficult to decide to develop a domain-specific pre-trained language model, while it is not clear whether the performance will be improved dramatically. In this paper, we present a way to proactively check the expected performance improvement by further pre-training in a domain before actually performing further pre-training. Specifically, after selecting three domains, we measured the increase in classification accuracy through further pre-training in each domain. We also developed and presented new indicators to estimate the specificity of the domain based on the normalized frequency of the keywords used in each domain. Finally, we conducted classification using a pre-trained language model and a domain-specific pre-trained language model of three domains. As a result, we confirmed that the higher the domain specificity index, the higher the performance improvement through further pre-training.

• School Mathematics
• /
• v.10 no.4
• /
• pp.537-555
• /
• 2008

The study aims to analyze elementary school students' understanding of the concept of equality sign in contexts, to reflect the types of contexts for equality sign which mathematics textbook series for $1{\sim}4$ grades on natural numbers and its operation provide, and to invetigate the effects of teaching methods of the concept of equality sign suggested in this research. In order to achieve these purposes, the origin, concept, and contexts of equality sign were theoretically reviewed and organized. Also the error types in using equality sign were reflected. Modelling, discussing truth or falsity of equations, identifying relations between numbers and their operation, conjecturing basic properties of numbers and their operations, experiencing diverse contexts for equality sign, and creating contexts for equality sign are set up as teaching methods for better understanding the concept of equality sign. The conclusions are as follows. Firstly, elementary school students' under-standing of the concept of equality sign varied by context and was generally far from satisfactory. In particular, they had difficulties in understanding the concept of the equal sign in contexts with operations on both sides. The most frequently witnessed error was to recognize equality sign as a result of operations. Secondly, student' lack of understanding of the concept of equality sign came from the fact that elementary textbooks failed to provide diverse contexts for equality sign. According to the textbook analysis, contexts with operations on the left side of the equal sign in the form of $a{\pm}b=c$ were provided excessively, with the other contexts hardly seen. Thirdly, teaching methods provided in the study were found to be effective for enhancing understanding the concept of equality sign. In other words, these methods enabled students to focus on relational understanding of concept of equality sign rather than operational one.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.7 no.4
• /
• pp.191-205
• /
• 2009

To characterize the geological features in the study area for high-level radioactive waste disposal research, KAERI (Korea Atomic Energy Research Institute) has been performing several geological investigations such as geophysical surveys and borehole drillings since 1997. Especially, the KURT (KAERI Underground Research Tunnel) constructed to understand the deep geological environments in 2006. Recently, the deep boreholes, which have 500 m depth inside the left research module of the KURT and 1,000 m depth outside the KURT, were drilled to confirm and validate the results from a geological model. The objective of this research was to investigate hydrogeological conditions using a 3-D geological model around the KURT. The geological analysis from the surface and borehole investigations determined four important geologicla elements including subsurface weathered zone, low-angled fractures zone, fracture zones and bedrock for the geological model. In addition, the geometries of these elements were also calculated for the three-dimensional model. The results from 3-D geological model in this study will be beneficial to understand hydrogeological environment in the study area as an important part of high-level radioactive waste disposal technology.