• 전자공학회논문지
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• 제52권11호
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• pp.47-54
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• 2015

인터넷의 발달과 스마트폰 등과 같은 휴대기기 보급의 확산으로 트위터, 페이스북과 같은 SNS 사용자의 수가 증가하고 있다. 그리고 이와 함께 상품 광고, 비방 및 성인 콘텐츠 등을 게재함으로써 SNS를 오염시키는 콘텐츠 오염 문제 또한 점차 커지고 있다. 따라서 본 논문은 SNS에서의 콘텐츠 오염자를 탐지하기 위한 개선된 콘텐츠 오염자의 특징 추출 방법을 제안한다. 특히, 본 논문은 콘텐츠 오염자의 예측 및 분류 단계에서 새로운 사용자 데이터의 특징 값을 효율적으로 추출하기 위하여 전체 데이터를 대상으로 하는 일괄 처리 방식이 아니라 데이터 증가분만을 고려하는 점진적 접근 방법에 기초한 콘텐츠 오염자 특징 추출 방법을 제안한다. 그리고 제안한 방법이 일괄 처리한 방법과 비교해서 분류 정확도는 유지되고 시간 효율성이 향상되는 것을 실험을 통해 비교 평가한다.

• 대한원격탐사학회지
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• 제25권1호
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• pp.11-20
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• 2009

우리나라는 황사발생 빈도가 증가하고 특히 하절기에 강우 및 구름 발생이 잦아 위성원격탐사영상의 대기보정처리를 필요로 한다. 본 연구에서는 대기보정 전후의 클래스별 화소값 분포 변화를 비교하여 대기보정이 영상화소분류에 미치는 영향을 분석하였다. 실험에 사용된 영상은 LANDSAT-5 TM이고, 대기보정 모듈로는 상용 소프트웨어인 ATCOR, FLAASH와 인터넷에 공개된 COST 모델 3가지를 적용하였다. 실험 결과, 건물밀집 지역 영역에서 클래스 분리도가 향상되는 것으로 나타났다.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2019년도 추계학술대회
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• pp.87-87
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• 2019

The consumption of herbal medicine and related products (herbal products) have increased in South Korea. At the same time the quality, safety, and efficacy of herbal products is being raised. Currently, the herbal products are standardized and controlled according to the requirements of the Korean Pharmacopoeia, the National Institute of Health and the Ministry of Public Health and Social Affairs. The validation of herbal products and their medicinal component is important, since many of these herbal products are composed of two or more medicinal plants. However, there are no tools to support the validation process. Interest in deep learning has exploded over the past decade, for herbal medicine using algorithms to achieve herb recognition, symptom related target prediction, and drug repositioning have been reported. In this study, individual images of four herbs (Panax ginseng C.A. Meyer, Atractylodes macrocephala Koidz, Poria cocos Wolf, Glycyrrhiza uralensis Fischer), actually sold in the market, were achieved. Certain image preprocessing steps such as noise reduction and resize were formatted. After the features are optimized, we applied GoogLeNet_Inception v4 model for herb image recognition. Experimental results show that our method achieved test accuracy of 95%. However, there are two limitations in the current study. Firstly, due to the relatively small data collection (100 images), the training loss is much lower than validation loss which possess overfitting problem. Secondly, herbal products are mostly in a mixture, the applied method cannot be reliable to detect a single herb from a mixture. Thus, further large data collection and improved object detection is needed for better classification.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• 비교문화연구
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• 제45권
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• pp.55-83
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• 2016

한국 대학에서 영시에 대한 수요를 높이기 위해 실제 수업과정에서 학습자가 겪는 어려움을 확인하고, 그 원인을 분석하며, 텍스트 해석 과정에 개입되는 언어학적, 문화적, 문학적 변수들을 확인한다. 담론의 구성에서 내용의 의의에 이르기까지 시 텍스트는 산문을 포함하여 다른 담론을 판단하는데 유용한 본보기가 될 수 있다. 다양한 글을 읽는 것이 필수적인 영문과 학생이 시를 읽기 싫어해서는 안 되는 이유이다. 학습자가 시를 읽으면서 실제로 미학적인 쾌락을 느끼고 구체적인 보상을 받을 수 있도록 도와주는 것이 필요하다. 실제 수업의 환경에서 시 텍스트를 어떻게 번역하는가, 특히 오역이 어떻게 생산되는지를 확인하게 되면 학습자의 어려움을 덜어주는 교수자의 개입이 보다 효과적으로 이루어질 수 있다. 시 텍스트를 구성하고 있는 영어 문장의 언어적, 문화적 특성상 일차적 의미 혹은 축자적 의미를 파악하는 과정은 영어를 모국어로 하지 않는 대부분의 학습자들에게는 그 자체로 매우 복합적인 언어적, 문화적, 예술적 경험이 생성, 변용, 축적되는 과정이다. 따라서 이 논문은 오역을 일종의 문화번역의 경우로 간주하고 한국 대학 영시수업에서 주로 사용하는 시 텍스트를 선정, 학습자들이 오역을 생산하는 기제와 그 기제의 원인을 규명한다.

• 산업경영시스템학회지
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• 제41권4호
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• pp.160-170
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• 2018

This paper is an exploratory study on the success factors of Defence Quality Management System (DQMS) which is the certification system granted by the military for improving the quality of munitions. DQMS is established by adding military requirements to the ISO standard, thus, we especially focus on the additional requirements to figure out success key factors of DQMS certification. The 51 additional requirements of Korean Defense Specification (KDS) are empirically investigated from 67 companies that acquired DQMS certification. Firstly, we conduct an independent t-tests on 51 additional requirements of KDS 0050-900-3 to determine if there is a difference between an easily certified company and a hard-to-certify company, and obtain 8 requirements such as 'Internal propagation of performance', 'Preparation of documented work instructions', 'Work instructions in the workplace', 'Documentation of equipment management', 'Inventory management', 'Packaging and identification', 'Guarantee of access to internal audit result for customers', 'Notification to the customer for improper product.' Secondly, we carry out an factor analysis to the 51 additional requirements for classification, and figure out that 4 requirements among the 8 requirements above mentioned are grouped together in the same factor. The 4 requirements are 'Preparation of documented work instructions', 'Work instructions in the workplace', 'Packaging and identification', and 'Guarantee of access to internal audit result for customers.' The result of this paper will provide useful information to the company preparing for DQMS.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.295-303
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• 2021

The relevance of the research is due to the fact that the issue of poverty is one of the most acute social problems of the beginning of the third millennium. The phenomenon of poverty is widespread in third world countries as well as it is observed in relatively developed countries. Poverty rates in Latin America are threatening. Consequently, the issue of social and economic inequality in these countries has become extremely acute. The purpose of the research: to identify the causes of poverty and social inequality and substantiate the main directions of poverty reduction in third world countries. The research methods: comparative analysis; index method; systematization; grouping; generalization. Results. The classification of the causes of poverty has been carried out and the directions of its overcoming in the countries of Latin America on groups of indicators have been defined, namely: 1) political; 2) economic; 3) demographic; 4) regional-geographical; 5) social; 6) qualification; 7) personal. Based on the Net Domestic Product indicator, a comparison of economic indicators of the studied countries has been carried out. It has been revealed that from 1990 to 2018 income inequality increased in 52 of 119 countries studied, and decreased in 57 states. Inequality has increased in the world's most populous countries, particularly China and India. In general, countries with growing inequality are home to more than two-thirds (71%) of the world's population. Trends in the distribution of income in the world have been investigated by applying the Gini index, the high level of which is observed in Latin America (Colombia 48,9%, Panama 46,1%, Chile and Mexico 45,9%). The forecast of the impact of the Covid-19 pandemic on this issue has been outlined; the ways of its impact on the economies of the countries have been studied. As a result of the study, the main directions and mechanisms of the strategy for poverty reduction and social inequality in the third world countries have been identified. The implementation of the poverty reduction strategy presented in this academic paper may have a positive impact on the economic situation of the population of Latin American countries.

• 한국정보전자통신기술학회논문지
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• 제14권1호
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• pp.70-77
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• 2021

본 논문에서는 산업연관표와 한국표준산업분류를 비교하여 4차 산업혁명 관련 산업을 제조업, 정보통신서비스, 금융 및 보험서비스 그리고 과학기술서비스 4부문으로 재분류하였다. 그리고 수요유도형 모형을 이용해 4부문 산업을 외생화하여 경제적 파급효과를 분석하였다. 생산유발효과, 부가가치유발효과, 취업유발효과에 대한 분석결과, 제조업, 정보통신서비스 그리고 과학기술서비스 부문에서는 도소매 및 상품중개서비스가 큰 것으로 계측되었고, 금융 및 보험서비스 부문에서는 금융 및 보험서비스가 큰 것으로 분석되었다. 수입유발효과는 4차 산업 모든 부문에서 광산품이 가장 큰 것으로 분석되었다. 전후방연쇄효과 분석결과, 제조업과 정보통신서비스 부문은 경기변동에 민감한 중간수요적 원시사업형이고, 금융 및 보험서비스와 과학기술서비스 부문은 최종수요적 원시사업형임을 확인하였다.

• PNF and Movement
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• 제10권3호
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• pp.7-18
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• 2012

Purpose : This study was to compare the difference Trunk Control Test(TCT), Postural Assessment Scale for Stroke(PASS-TC), and Trunk Impairment Scale(TIS) and its subscales in relation to the difference MBI(Modified Barthel Index), BBS(Berg Balance Scale), and to establish the association between MBI, BBS, Fugl Meyer-motor function(FM-M), and to predict MBI-subscales from the variables. Methods : 58 stroke patients, attending a rehabilitation programme, participated in the study. Trunk control was measured with the use of the TCT, PASS-TC, TIS, and the performance of Activities daily living was obtained by MBI, and dynamic balance ability(by BBS). Trunk control scores from the difference MBI, BBS were compared using the 1-way ANOVA(Mann Whitney U test) and the data were analyzed using Pearson product correlation. Multiple stepwise regression analyses were performed to identify prognostic factors for ADL subscale. Results : Trunk control scores showed significant differences between MBI(F=2.139~13.737, p<.05~.001), BBS(t=3.491~7.705, p<.01~.001). It was significantly related with value of the MBI(r=.25~.50), BBS(r=.38~.68), FMM( r=.31~.48). Stepwise linear regression analysis showed an additional, significant contribution of the TCT, in addition to the PASS-TC, dynamic sitting balance subscale of the TIS for measures of MBI subscales. Conclusion : Measures of trunk control were significantly related with values of MBI, BBS score, so the management of trunk rehabilitation after stroke should be emphasized. The use of both quantitative and qualitative scales was shown to be a good measuring instrument for the classification of the general performance of the stroke patients. Further study about trunk control is needed using a longitudinal study design.

• Journal of Korean Biological Nursing Science
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• 제23권2호
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• pp.138-150
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• 2021

Purpose: This retrospective study aimed to investigate nursing interventions in patients with severe thoracic injury in trauma bay of a regional trauma center. Methods: Of the 1,780 patients admitted to the trauma bay of a regional trauma center in a university hospital in the Gyeonggi Province between January 1, 2019 and December 31, 2019, 120 adult patients with severe thoracic injury who met the inclusion criteria were enrolled. Participants' clinical characteristics and nursing interventions were collected from electronic medical records after receiving ethical approval. Nursing interventions were classified using the terminology in the Nursing Intervention Classification. Results: The mean age of participants was 52.25 years and 72.5% of participants were male. The main areas of thoracic injury included lung parenchyma and pleura (95.8%). The mean Abbreviated Injury Scale (AIS) for thoracic injury was 3.13 and the mean Injury Severity Score (ISS) was 17.81. Fluid resuscitation, invasive hemodynamic monitoring, chest tube care, respiratory monitoring, artificial airway management, gastrointestinal tube care, mechanical ventilation management: airway insertion and stabilization, blood product administration, allergy management, and surgical preparation were performed significantly more frequently in thoracic injury patients with unstable vital signs or a higher AIS score. Conclusion: This study is significant as it investigated the types of nursing interventions given to patients with severe thoracic injury in the trauma bay. These results would contribute to developing more detailed educational materials for initial nursing interventions in trauma bay.