• 한국컴퓨터정보학회논문지
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• 제25권12호
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• pp.261-270
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• 2020

본 연구는 피기백 화차운송 시스템의 특허문서를 활용하여 관련 분야의 유망기술을 파악하는 것을 목표로 한다. 이를 위해 피기백 운송 시스템의 선행연구 및 관련 보고서로 기술 키워드를 추출하여 특허문서를 추출한다. 추출된 특허문서에 텍스트마이닝 기법을 적용하여 빈도수가 높은 키워드를 확인하고 피기백 운송 시스템의 핵심기술의 토픽을 식별하기 위해 LDA(Latent Dirichlet Allocation) 알고리즘을 적용하였다. 마지막으로, 시계열 분석 기법인 ARIMA 모델을 핵심기술의 토픽에 적용하여 기술 추세를 예측하고 피기백 운송 시스템에 대한 유망한 기술을 식별하였다. 특허 분석 결과, 데이터 기반 통합관리 시스템과 운영 계획 시스템 그리고 복합수송 중 특수 화물(기체, 액체류) 운송 및 보관 기술이 미래에 유망한 핵심기술로 도출되었고, 데이터 송수신 및 분석 기술이 중요한 세부 기술임을 확인하였다. 제안된 분석 방법은 피기백 운송 시스템의 R&D 연구개발 전략 및 기술 로드맵을 개발하는 데 있어 충분한 자료가 될 수 있다.

• 한국컴퓨터정보학회논문지
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• 제27권11호
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• pp.57-66
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• 2022

본 논문에서는 Sentence-BERT 모델을 활용한 법률 문서 검색 방법을 제안한다. 법률 검색 서비스를 이용하고자 하는 일반인들은 법률 용어 및 구조에 대한 이해가 부족함에 따라 관련 판례 검색 등에 있어 어려움을 겪고 있다. 기존의 키워드 및 텍스트마이닝 기반 법률 검색 방법은 판결문의 문맥에 대한 정보가 없으며, 동음이의어 및 다의어에 대해 구분하기 어려워 성능을 높이는 데 한계가 있었다. 그로 인해 법률 문서 검색 결과에 대한 정확도가 낮아 신뢰하기가 어려웠다. 이를 위해, 대법원 판례 및 법률구조공단 상담사례 데이터에서 일반인의 법률 검색 문장에 대한 성능을 개선하고자 한다. Sentence-BERT 모델은 판례 및 상담 데이터에 대한 문맥 정보가 임베딩 되므로, 문장의 의미 손실이 적어 TF-IDF 및 Doc2Vec 검색 방법과 비교했을 때보다 검색 정확도가 개선된 것을 확인할 수 있었다.

• International Journal of Knowledge Content Development & Technology
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• 제2권2호
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• pp.17-29
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• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

• 대한간호학회지
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• 제38권1호
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• pp.19-28
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• 2008

Purpose: The purpose of this paper was to examine the relationship between type D personality and cardiovascular disease, and to suggest future research directions. Method: A literature search was conducted from the following nine databases: 1) MEDLINE, 2) CINAHL, 3) Pubmed Unrestricted, 4) PsycINFO, 5) KISS, 6) RICHIS, 7) RISS4U, and 8) Nanet. The combinations of the words, "type D personality", "personality", "heart", "cardiovascular", and "coronary" were used for keyword searches to find relevant articles. Twenty eight studies were identified. Result: Type D personality has been associated with increased morbidity and mortality in patients with established cardiovascular disease. Type D patients are also at increased risk for impaired quality of life, and seem to benefit less from medical and invasive treatment. Conclusion: There is substantial evidence for a relationship between type D personality and clinical outcomes related to cardiovascular disease. Randomized clinical trials are needed to further evaluate the value of controlling type D personality to improve survival and reduce morbidity in patients with cardiovascular disease. Accumulating evidence from this analysis indicates the urgent need to adopt a personality approach in order to optimize the identification of patients at risk for stress related cardiac events.

• 동서간호학연구지
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• 제22권1호
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• pp.1-9
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• 2016

Purpose: We conducted a literature review for analyzing the effect of massage on children according to their developmental stage in Korea. Methods: Various academic databases were utilized for a bibliographic search, and the keyword, 'massage', was used to identify relevant references without limits on years to determine the overall research trends. Finally, 38 references cited from 1998 to 2014 were selected in Korea. Results: Only two studies adapted a randomized controlled trial design. With regard to children's developmental stage, half studies were conducted for neonates. Moreover, the percentage of application of a sensory stimulation protocol in newborn infants was 47.3%. Eighty four point one percent of studies measured physiological characteristics as outcome variables and the rate of growth was the most common (46.5%) physiological characteristic. On the contrary, only one study (4%) was conducted to evaluate the effect of massage on psychological characteristics in school aged and the adolescents. Conclusion: This study provides fundamental data on the development and direction for future studies by analyzing studies on pediatric massage in Korea.

• 경영과학
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• 제23권3호
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• pp.77-93
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• 2006

In the highly competitive world, there has been a concomitant increase in the need for the research and planning methodology, which can perform an advanced assessment of technological opportunities and an early Perception of threats and possibilities of the emerging technology according to the nation's economic and social status. This research is aiming to provide indicators and visualization methods to measure the latest research trend and aspect underlying scientific and technological documents to researchers and policy planners using 'Co-word Analysis' Organic light emitting diodes(OLED) is an emerging technology in various fields of display and which has a highly prospective market value. In this paper, we presented an analysis on OLED. Co-word analysis was employed to reveal patterns and trends in the OLED fields by measuring the association strength of terms representatives of relevant publications or other texts produced in the OLED field. Data were collected from SCI and the critical keywords could De extracted from the author keywords. These extracted keywords were further standardized. In order to trace the dynamic changes in the OLED field, we presented a variety of technology mapping. The results showed that the OLED field has some established research theme and also rapidly transforms to embrace new themes.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.247-253
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• 2020

It has emerged Food-content among various forms of 1-person media through social media. Food-content influencer also market products through 1-person media, generating revenue through increased views and subscribers of 1-person media. It also sells products through sponsorship. In general, there is a profit structure through 1-person media viewing, but research on how restaurant companies generate profits directly through food-content is insufficient. In addition, research on converting subscribers to consumers through food-contents is minimal. In this paper, we propose an experiential application system based on the behavior of food-content creators. The proposed system collects and categorizes food-content information, and maps between highly related words to organize into keyword categories. The ontology tag-based concept network applied to the proposed system connects representative information by pre-extracting/mapping information related to information requests among a wide range of data. This method maps relevant food-content information to provide the user with data collected/storage in the form of an application. The user uses the application while watching the food eaten by the influencer and creator. And, it is meaningful that the user could be provided is provided with information about the food they want to eat.

• Child Health Nursing Research
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• 제24권1호
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• pp.91-100
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• 2018

Purpose: This study was to evaluate the quality of online health information related to infants and preschoolers accessible through mobile applications and websites. Methods: Using combinations of the terms 'infant', 'preschooler', and 'health' as the main keyword or categories, the researchers searched relevant mobile applications and websites in Korean application markets and popular search engines. Twelve mobile application and 14 websites were finally selected according to our inclusion criteria and evaluated using DISCERN instrument. Results: The overall quality score of online health information available through mobile applications was 2.00 of 5 points, the reliability score was 2.15, and the quality score was 1.76. The overall quality score of online health information available through websites was 2.29, the reliability score was 2.40, and the quality score was 1.82. Conclusion: The quality of online health information related to young children was found to be low and to have potentially significant drawbacks according to DISCERN criteria. Therefore, it is necessary to establish a system to evaluate and regulate the quality of online health information. Additionally, factors that readers can use to judge the quality of health information, such as references and the benefit versus risks of the information, should be provided.

• 대한간호학회지
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• 제37권2호
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• pp.227-241
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• 2007

Background. Although research has established the existence of an association between smoking and depression among adolescents, researchers have not reached consensus on the nature of the association. Objectives. The purpose of this paper is to review the literature, to examine the nature of the relationship between smoking and depression in adolescence, and to suggest future research directions. Methods. A literature search was conducted from the following six databases: (a) Ovid MEDLINE, (b) CINAHL, (c) PubMed Unrestricted, (d) PsycINFO, (e) ERIC, and (f) Sociological Abstracts. The combinations of the words, "depression," "smoking," "tobacco," "adolescent," and "teen" were used for keyword searches to find relevant articles. Results. In 47 of 57 studies, significant associations between smoking and depression were found. However, these significant relationships may either be spurious or unrelated to depression because a substantial number of studies did not adjust for confounders or did not use validated instruments to measure depression. Additionally, if the relationship is causal, its direction remains controversial. Five relationships have been suggested: (a) Depression causes smoking, (b) smoking causes depression, (c) there is a bidirectional relationship between smoking and depression, (d) smoking and depression occur due to confounders, and (e) subgroups with different relationships between the two conditions exist. Conclusions. It is necessary to further explore the relationship between smoking and depression. Future research should consider the need for: (a) longitudinal research designs, (b) more accurate measurement of depression, and (c) the control of confounders between smoking and depression.

• 한국IT서비스학회지
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• 제15권1호
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• pp.197-210
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• 2016

With the advent of text analytics, VOC (Voice of Customer) data become an important resource which provides the managers and marketing practitioners with consumer's veiled opinion and requirements. In other words, making relevant use of VOC data potentially improves the customer responsiveness and satisfaction, each of which eventually improves business performance. However, unstructured data set such as customers' complaints in VOC data have seldom used in marketing practices such as predicting service time as an index of service quality. Because the VOC data which contains unstructured data is too complicated form. Also that needs convert unstructured data from structure data which difficult process. Hence, this study aims to propose a prediction model to improve the estimation accuracy of the level of customer satisfaction by combining unstructured from textmining with structured data features in VOC. Also the relationship between the unstructured, structured data and service processing time through the regression analysis. Text mining techniques, sentiment analysis, keyword extraction, classification algorithms, decision tree and multiple regression are considered and compared. For the experiment, we used actual VOC data in a company.