• The Research Journal of the Costume Culture
• /
• v.6 no.1
• /
• pp.46-57
• /
• 1998

The purpose of this study were to understand the traditional make-up in Korea, and investigate a method of making and using the cheek rouge, make-up trend. This study was reviewed the change of cheek rouge from the Three State to the Civilization period. The results revealed that the cheek rouge make-up was the main aspect in Korea make-up and was a product of culture, society and area. Therefore, this finding was helpful to understand the traditional make-up culture in Korea, and to express and inherite Korean beauty in the make-up.

• FLOWER RESEARCH JOURNAL
• /
• v.16 no.4
• /
• pp.229-233
• /
• 2008

A new spary chrysanthemum(Dendranthema grandiflorum) cultivar 'Moulin Rouge' was developed from a cross between 'Delmont' and 'Anjela' by selections of seedlings and lines at the Flower Research Institute, Gyeongnam Agricultural Research and Extension Services(ARES) from 2002 to 2006. Its characteristics were investigated three times from 2004 to 2006 under condition of forcing culture in spring and retarding culture in autumn. The natural flowering time of 'Moulin Rouge' was October 24th, and year-round production was possible by day length treatment. Its capitulum was 5.3 cm in diameter, and had 22.9 ray florets and 12.2 head per stem in autumn. Its ray floret was bi-color(yellow/orange) with green central zone. 'Moulin Rouge' was about 55 days to flower in spring, and showed the vase life of 21.7 days in autumn. This cultivar was registered for a commercialization in 2007.

• Journal of KIISE
• /
• v.44 no.5
• /
• pp.503-509
• /
• 2017

In this paper, the copy mechanism and input feeding are applied to recurrent neural network(RNN)-search model in a Korean-document summarization in an end-to-end manner. In addition, the performances of the document summarizations are compared according to the model and the tokenization format; accordingly, the syllable-unit, morpheme-unit, and hybrid-unit tokenization formats are compared. For the experiments, Internet newspaper articles were collected to construct a Korean-document summary data set (train set: 30291 documents; development set: 3786 documents; test set: 3705 documents). When the format was tokenized as the morpheme-unit, the models with the input feeding and the copy mechanism showed the highest performances of ROUGE-1 35.92, ROUGE-2 15.37, and ROUGE-L 29.45.

• Journal of Fashion Business
• /
• v.9 no.1
• /
• pp.99-112
• /
• 2005

The purpose of this study is to create party wear of heroine Satine's image. This study analyzed the costume and its image of the film "Moulin Rouge" which the director Baz Luhrmann filmed the club 'Moulin Rouge' has existed in Paris, France. Catherine Martin, who got the Academy awards in movie costume and art director with this film, made the costume which was added more gorgeous and modern sense for the image beauty for costume in film from the costume design which appeared in the art work of Toulouse-Lautrec painted Moulin Rouge. In the costume form, S-silhouette robe with gored skirt was appeared as usual garment and gorgeous corset style costume which was outer garment like underwear exposed of the body, pleasant apolaustic and decorated excessively was appeared for costume design. Based on the above study, this study created the party wear of the graceful eroticism image and the prostitute eroticism image of heroine Satine. The costume design of Satine's image was planned along the character which was analyzed through this study.

• Journal of information and communication convergence engineering
• /
• v.20 no.4
• /
• pp.309-316
• /
• 2022

This investigation is aimed at automatic text summarization on large-scale Vietnamese datasets. Vietnamese articles were collected from newspaper websites and plain text was extracted to build the dataset, that included 1,101,101 documents. Next, a new single-document extractive text summarization model was proposed to evaluate this dataset. In this summary model, the k-means algorithm is used to cluster the sentences of the input document using different text representations, such as BoW (bag-of-words), TF-IDF (term frequency - inverse document frequency), Word2Vec (Word-to-vector), Glove, and FastText. The summary algorithm then uses the trained k-means model to rank the candidate sentences and create a summary with the highest-ranked sentences. The empirical results of the F1-score achieved 51.91% ROUGE-1, 18.77% ROUGE-2 and 29.72% ROUGE-L, compared to 52.33% ROUGE-1, 16.17% ROUGE-2, and 33.09% ROUGE-L performed using a competitive abstractive model. The advantage of the proposed model is that it can perform well with O(n,k,p) = O(n^(k+2/p)) + O(nlog₂n) + O(np) + O(nk²) + O(k) time complexity.

• Journal of Internet Computing and Services
• /
• v.25 no.3
• /
• pp.27-33
• /
• 2024

The environment of academic research is continuously changing due to the increase of information, which raises the need for an effective way to analyze and organize large amounts of documents. In this paper, we propose Performance Improvement of Topic Modeling using BART(Bidirectional and Auto-Regressive Transformers) based Document Summarization. The proposed method uses BART-based document summary model to extract the core content and improve topic modeling performance using LDA(Latent Dirichlet Allocation) algorithm. We suggest an approach to improve the performance and efficiency of LDA topic modeling through document summarization and validate it through experiments. The experimental results show that the BART-based model for summarizing article data captures the important information of the original articles with F1-Scores of 0.5819, 0.4384, and 0.5038 in Rouge-1, Rouge-2, and Rouge-L performance evaluations, respectively. In addition, topic modeling using summarized documents performs about 8.08% better than topic modeling using full text in the performance comparison using the Perplexity metric. This contributes to the reduction of data throughput and improvement of efficiency in the topic modeling process.

• 한국어정보학회:학술대회논문집
• /
• 2016.10a
• /
• pp.56-61
• /
• 2016

본 논문에서는 Sequence-to-sequence 모델을 생성요약의 방법으로 한국어 문서요약에 적용하였으며, copy mechanism과 input feeding을 적용한 RNN search 모델을 사용하여 시스템의 성능을 높였다. 인터넷 신문기사를 수집하여 구축한 한국어 문서요약 데이터 셋(train set 30291 문서, development set 3786 문서, test set 3705문서)으로 실험한 결과, input feeding과 copy mechanism을 포함한 모델이 형태소 기준으로 ROUGE-1 35.92, ROUGE-2 15.37, ROUGE-L 29.45로 가장 높은 성능을 보였다.

• Annual Conference on Human and Language Technology
• /
• 2022.10a
• /
• pp.41-46
• /
• 2022

본 논문에서는 중요도를 반영한 긴 회의록 요약 모델을 제안한다. 제안한 모델은 먼저 회의록을 일정 크기로 구분한 후 구분된 텍스트에 대해 중간 요약문을 생성하고 각 요약문의 중요도를 계산한다. 다음으로 생성된 중간 요약문과 중요도를 함께 사용하여 최종 요약문을 생성한다. 제안 방법은 최종 요약문을 생성할 때 중간 요약문을 다르게 반영하므로 중요한 중간 요약문에서는 핵심 내용을 중점적으로 생성하도록 한다. 실험에서 제안한 요약 모델은 BART기반 요약 모델과, 중요도를 고려하지 않는 요약 모델(SUMM^N)보다 핵심 내용을 포함한 요약문을 생성하였고, 평가 데이터에 대해 ROUGE-1 기준 1.37, 0.29 향상된 성능을 보였다.

• Journal of KIISE
• /
• v.44 no.7
• /
• pp.674-679
• /
• 2017

In big-data environments wherein large amounts of text documents are produced daily, titles are very important clues that enable a prompt catching of the key ideas in documents; however, titles are absent for numerous document types such as blog articles and social-media messages. In this paper, a title-generation model for which sequence-to-sequence RNNs with attention and copying mechanisms are employed is proposed. For the proposed model, input sentences are encoded based on bi-directional GRU (gated recurrent unit) networks, and the title words are generated through a decoding of the encoded sentences with keywords that are automatically selected from the input sentences. Regarding the experiments with 93631 training-data documents and 500 test-data documents, the attention-mechanism performances are more effective (ROUGE-1: 0.1935, ROUGE-2: 0.0364, ROUGE-L: 0.1555) than those of the copying mechanism; in addition, the qualitative-evaluation radiative performance of the former is higher.

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.9
• /
• pp.67-91
• /
• 1998

This study reviews the rating system of hotels and restaurants regulated by french gouvernment and compares the french guide books of worldwide reputaion : Guide rouge of Michelin and Guide France of Gault-Millau. The apparatus of gouvernment and the inspectors deciding the grades, the processes and the prior conditions needed for obtaining the adequate grades are mentioned. So it will be a help to understand the present system of hotels and restaurants in France. The publishing firms like Michelin and Gault-Millau not only encourage the trvel and F & B industry by estimating the hotels and restaurants and publishing the results, but also informe the consumer. Ultimately, the guide books would like to play an important role in improving or making better the levels of the tourism and the gastronomy. They support continuously the publishing of guide books with the qualified persons and financial aid. Especially, Michelin doesn't insert the advertisement in his publications. In publishing the guide books, it can be one of the most important points for proving his independence of hoteliers, restaurateurs and the others. The seconde point is impartial, clear and rigid inspection that doesn't admit any corruption. Now is the moment in korea to promote the tourism and the gastronomy by publishing the credible books like 「Guide rouge」 and 「Guide France」in order to present Korean attrations and epicurean foods.