• 동서간호학연구지
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• 제23권2호
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• pp.160-170
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• 2017

Purpose: The purpose of this study was to investigate the relationships of Korean medicine (KM) nursing knowledge, nursing practice and role conflict with retention intention among KM nurses. Methods: The study used a survey design with a sample of 152 nurses working at Korean medicine hospitals in Kyunggi province and Seoul. The data were collected from January 15 to March 18, 2016 and were analyzed with SPSS WIN 21.0. Results: The factors that influenced on retention intention were knowledge (${\beta}=.36$, p<.001) and role conflict (${\beta}=-.18$, p=.020) of KM nursing which explained 25.3% of retention intention in KM nurses (F=6.06, p<.001). Conclusion: The findings suggest that it is necessary to develop and offer KM nursing education programs for increasing retention intention among nurses in Korean medicine hospital. It is also important to specify the roles of KM nurses for reducing role conflict.

• 한국간호교육학회지
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• 제25권3호
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• pp.331-343
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• 2019

Purpose: This study focuses on investigating the effectiveness of simulation education on emergency management using a low-fidelity simulator as related to clinical skill performance, self-confidence, knowledge, learning satisfaction, and critical thinking disposition in new nurses. Methods: A pre-post test experimental design of nonequivalent control group was applied. Fifty-five new nurses were recruited, 28 nurses for the experimental group and 27 nurses for the control group. A simulation education for emergency management comprising knowledge lecture, team learning, skill education, team simulation, and debriefing was developed and implemented from Feb. 14 to 27, 2015. Data were analyzed with percentage, average, and standard deviation, chi-square, and t-test using SPSS. Results: The experimental group showed significantly higher knowledge (t=5.81, p<.001), clinical skill performance (t=10.08, p<.001), self-confidence (t=-6.24, p<.001), critical thinking disposition (t=2.42, p=.019), and learning satisfaction (t=4.21, p<.001) for emergency management compared with the control group who had traditional lecture education. Conclusion: The results indicate that a simulation education using a low-fidelity simulator is an efficient teaching method for new nurses to deepen their clinical skill performance, self-confidence, knowledge, learning satisfaction, and critical thinking disposition in learning emergency management.

• 한국산림과학회지
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• 제107권4호
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• pp.456-477
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• 2018

한국과 중국의 약용식물과 이와 관련된 사용정보 등이 포함된 전통지식을 데이터분석기법을 통하여 비교 분석하였다. 한국의 약용식물은 108과 214속 542종, 중국은 202과 660속 1261종으로 나타났다. 한국의 중국의 86개과 (79.6%) 식물종과 130개속 (60.7%) 식물종이 공통으로 나타났다. 다수 정보를 포함하고 있는 식물종도 있었지만 속 단위 기준으로 한국은 32.7%, 중국 58.8%가 단 한 건의 정보만을 포함하고 있었다. 수집 정보 중 가장 많이 출현한 식물종은 두 나라 모두 국화과가 8.4% (한국), 10.7% (중국)으로 가장 많이 나타났고 이어서 장미과, 콩과 등에 대한 정보가 많았다. 사용하는 식물 부위는 뿌리 등 11개 부위로 분류하였으며, 우리나라 전통지식에서는 식물의 뿌리를 가장 많이 사용하는 것으로 나타났고, 중국 전통지식에서는 식물전체를 이용하는 경우가 가장 많아 양국이 사용하는 부위가 다르게 나타났다. 식물 용법은 다양한 표현으로 기록되어 있었는데 한국은 120개이고 중국은 230개였다. 한국 정보에는 통증, 소화기장애, 감기 등의 순서로 증상 또는 효능이 많았고, 중국 정보에는 해열, 소화기장애, 기침 등 순으로 나타났다. 네트웍분석법을 이용하여 전통지식 정보에 다수 나타난 식물종 10종과 질병과의 연관관계를 분석한 결과 한국과 중국에서 공통으로 다수 발견된 수종이라도 연관관계가 높은 질병은 다르게 나타났다. 식물체의 부위별로 작용하는 질병이 다르게 나타났으며 양국이 사용하는 식물체 부위도 서로 다르게 나타났다. 데이터분석을 통하여 약용식물과 사용부위, 질병과의 연관관계를 분석한 결과 중국의 약용식물과 전통지식에 대한 정보를 파악할 수 있었으며 한국 정보와의 차이를 발견하였다. 이러한 정보는 식물자원과 전통지식에 대한 고유성을 확보하는데 정보로 활용할 수 있을 것으로 생각한다.

• Asia pacific journal of information systems
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• 제8권3호
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• pp.51-73
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• 1998

This paper is to evaluate the application potentials of data mining in the areas of Supply Chain Management (SCM) and to suggest the architectures of Decision Support Systems (DSS) that support data mining activities. We first briefly introduce data mining and review the recent literatures on SCM and then evaluate data mining applications to SCM in three aspects: marketing, operations management and information systems. By analyzing the cases about pricing models in distribution channels, demand forecasting and quality control, it is shown that artificial intelligence techniques such as artificial neural networks, case-based reasoning and expert systems, combined with traditional analysis models, effectively mine the useful knowledge from the large volume of SCM data. Agent-based information system is addressed as an important architecture that enables the pursuit of global optimization of SCM through communication and information sharing among supply chain constituents without loss of their characteristics and independence. We expect that the suggested architectures of intelligent DSS provide the basis in developing information systems for SCM to improve the quality of organizational decisions.

• 한국식품조리과학회지
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• 제30권5호
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• pp.579-587
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• 2014

Korean food is being recognized for its excellence. This paper attempts to provide material for the popularization of Korean cuisine with respect to foreign nationals living in Korea who are vegetarian by studying their Korean cuisine knowledge and preferences. The results of an Importance-Performance Analysis showed that though the importance values of traditional spice use such as garlic and the consideration of ingredient price were high, their performance values were low. Thus, these were areas identified as needing major improvement. Repeated measured data analysis was performed to determine variations in the perception of major factors for the development of Korean cuisine. The results indicated that simplification of seasoning was the most important factor followed by diversification of food ingredients, resale of vegetables in small quantities, ease of obtaining Korean cuisine recipes, and popularization of herbal and temple food, in that order. The least important factor in developing Korean cuisine was determined to be the reduction in levels of salt. Conjoint analysis was performed on the choices affection the selection of Korean cuisine, and price was found to be the most important factor. It was also determined that the effectiveness in the combination of fusion style, health oriented, concurrently served, medium to low price Korean cuisine was highest in preference. The next highest preferred combination was traditional style, health oriented, concurrently served, medium to low price Korean cuisine. The most significant factor to keep in mind in developing Korean dishes for foreign vegetarians was determined to be price. Furthermore, it was important to not simply reduce caloric intake but to use healthy ingredients and cooking methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4105-4121
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• 2021

Recently, malware classification based on Deep Neural Networks (DNN) has gained significant attention due to the rise in popularity of artificial intelligence (AI). DNN-based malware classifiers are a novel solution to combat never-before-seen malware families because this approach is able to classify malwares based on structural characteristics rather than requiring particular signatures like traditional malware classifiers. However, these DNN-based classifiers have been found to lack robustness against malwares that are carefully crafted to evade detection. These specially crafted pieces of malware are referred to as adversarial examples. We consider a clever adversary who has a thorough knowledge of DNN-based malware classifiers and will exploit it to generate a crafty malware to fool DNN-based classifiers. In this paper, we propose a DNN-based malware classifier that becomes resilient to these kinds of attacks by exploiting Generative Adversarial Network (GAN) based data augmentation. The experimental results show that the proposed scheme classifies malware, including AEs, with a false positive rate (FPR) of 3.0% and a balanced accuracy of 70.16%. These are respective 26.1% and 18.5% enhancements when compared to a traditional DNN-based classifier that does not exploit GAN.

• 산업융합연구
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• 제22권5호
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• pp.97-105
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• 2024

본 연구의 목적은 HMD 기반의 가상현실을 활용한 핵심간호술 훈련이 간호 학생의 지식, 수행도, 수행자신감, 자기효능감, 문제해결능력에 미치는 효과를 알아보고자 시행되었다. 연구 대상은 A지역 소재 1개 대학에 재학 중인 4학년 간호학생 45명이며, 가상현실 활용 핵심간호술 훈련을 적용한 실험군 21명, 마네킨 모형 사용의 고전적 방법을 활용한 대조군 24명이다. 실험군과 대조군은 핵심간호술 훈련을 마친 후, 술기가 포함된 시뮬레이션을 수행하였다. 자료 수집은 2022년 10월 3일부터 10월 28일까지 시행되었으며, 수집된 자료는 서술적 통계, t-검정(t-test)로 분석하였다. 연구 결과, 중재 이후 간호학생의 지식은 실험군이 유의하게 더 높았고(t=-2.13, p=.039), 수행자신감은 대조군이 유의하게 더 높았다(t=2.63, p=.012). 수행도, 자기효능감, 문제해결능력은 유의미한 차이가 없었다. 따라서 가상현실을 활용한 핵심간호술 훈련은 간호학생들이 실제 수행을 하기 전 지식과 수행 절차를 익히는데 유용하게 활용될 수 있으며, 마네킨 모형을 사용하는 고전적 핵심간호술 훈련은 간호 학생들의 술기 자신감 향상을 이끌어 낼 수 있을 것으로 사료된다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.101-106
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• 2005

Recently, as the size of genetic knowledge grows faster, automated analysis and systemization into high-throughput database has become hot issue. One essential task is to recognize and identify genomic entities and discover their relations. However, ambiguity of name entities is a serious problem because of their multiplicity of meanings and types. So far, many effective techniques have been proposed to analyze documents. Yet, accuracy is high when the data fits the model well. The purpose of this paper is to design and implement a document classification system for identifying entity problems using text/data mining combination, supplemented by rich data mining algorithms to enhance its performance. we propose RTP ost system of different style from any traditional method, which takes fault tolerant system approach and data mining strategy. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We experimented our system for classifying RB-related documents on PubMed abstracts to verify the feasibility.

• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.29-41
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• 2022

최근 딥 러닝 기술의 발전으로 방대한 텍스트 데이터를 사전에 학습한 우수한 성능의 거대한 모델들이 다양하게 고안되었다. 하지만 이러한 모델을 실제 서비스나 제품에 적용하기 위해서는 빠른 추론 속도와 적은 연산량이 요구되고 있으며, 이에 모델 경량화 기술에 대한 관심이 높아지고 있다. 대표적인 모델 경량화 기술인 지식증류는 교사 모델이 이미 학습한 지식을 상대적으로 작은 크기의 학생 모델에 전이시키는 방법으로 다방면에 활용 가능하여 주목받고 있지만, 당장 주어진 문제의 해결에 필요한 지식만을 배우고 동일한 관점에서만 반복적인 학습이 이루어지기 때문에 기존에 접해본 문제와 유사성이 낮은 문제에 대해서는 해결이 어렵다는 한계를 갖는다. 이에 본 연구에서는 궁극적으로 해결하고자 하는 과업에 필요한 지식이 아닌, 보다 상위 개념의 지식을 학습한 교사 모델을 통해 지식을 증류하는 이질적 지식증류 방법을 제안한다. 또한, 사이킷런 라이브러리에 내장된 20 Newsgroups의 약 18,000개 문서에 대한 분류 실험을 통해, 제안 방법론에 따른 이질적 지식증류가 기존의 일반적인 지식증류에 비해 학습 효율성과 정확도의 모든 측면에서 우수한 성능을 보임을 확인하였다.

• 동의생리병리학회지
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• 제16권5호
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• pp.845-850
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• 2002

This paper suggest a methodology for representation of findings which can be called as signs and symptoms. A finding consists of unit signs and unit symptoms, and moreover findings which appear in one individual patient have so many different relationship each other. So, it is nat appropriate to list all of possible findings as medical standard or to fill findings as independent things in paper for medical record. We try to distinguish finding item from finding list, and suggest the methodology by which we can make finding list from finding items. That is, we suggest finding item[Concept], value types, relationship, logical operator, and syntax as a component of representation. And by using urinary symptom, we make the example for representation methodology. Finally, we mention the background knowledge, brief research process of related area.