• Journal of Korean Traditional Oncology
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• v.10 no.1
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• pp.1-45
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• 2005

많은 암 환자들이 보완대체의학(CAM)의 치료법을 이용한다. 의사들은 보완대체의학 치료법에 대한 권위 있는 정보들을 이를 찾는 환자들에게 책임 있는 조언을 줄 수 있기 위해 필요로 한다. 이 글은 암 환자에게 일반적으로 사용되는 선택된 보완대체의학 치료법의 효과와 안정성에 대한 최근의 증거를 요약했다. 식이요법과 보조식품, 한약 및 기타 생약제재, 침, 마사지, 운동, 심리 및 심신의학 등의 주요 카테고리가 포함되었다. 효과의 증거에 대한 '가능한 질병진행과 생존율에 대한 효과' 및 '가능한 완화효과'의 두 가지 범주가 고려되었다. 안전성의 증거를 평가하는데 있어 '직적접인 부작용의 위험'과 '통상적 치료법과의 상호작용에 의한 위험'의 두 가지 위험 요소가 고려되었다. 각각의 치료에 있어 효용성과 안정성에 대한 현재의 균형은 이 치료법이 적절히 권고가 되고 수용되어지거나(예를 들어 유방암과 전립선암을 가진 영양 섭취가 충분한 환자의 식이지방 감소) 억제되는 것을(예를 들어 과량의 비타민 A 보조제) 제시한다. 이러한 전략은 보완대체의학의 치료법을 찾는 암환자들에게 책임 있고 근거중심적이고 환자중심적인 조언을 제공하는 것을 발전시킬 수 있다.

• Korean journal of communication and information
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• v.38
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• pp.183-210
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• 2007

The study tried to explore ordinary people's press fairness concept being neglected by the mainstream of fairness research thus far. With empirical standpoint, this study first investigated (un)fairness concept held by general audience, and then compared it with existing ones long suggested by experts such as scholars and media workers. Also, the study examined audience's concept construct in terms of its characteristics and implications. A systematic sample of 300 adults in Seoul was interviewed and their answers (instances of press unfairness) were analyzed and categorized. The most serious problem in fairness, they pointed, was that the press's not neutral. Also, truth and balance were importantly raised as a press problem with regard to fairness. The result showed press ethics and commercial morals could be a significant element for people's view on press fairness. These elements are new to the literature and heuristic regarding how to approach toward fairness issue in our society. The study also discusses the implications of other findings.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2001.11a
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• pp.14-14
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• 2001

현재 제지용 펄프 및 펼프 원료의 국내 자급상태는 매우 낮은 수준이다. 따라서 원료 가격변동과 환율에 따라 수익성은 물론, 원료 수급에도 큰 영향을 받게 된다. 최근 버 진펄프의 가격상승은 재생펄프 사용량과 고지수입량을 더욱 늘리고 있으며, 이들의 사 용에 따른 품질저하 개선노력도 꾸준히 행해지고 있다. 그러나 원가절감과 품질유지라 는 두 마리 토끼를 한꺼번에 잡는 것은 그리 쉬운 일이 아니며 그 효과 또한 점점 미 미해 지고 있는 실정이다. 외국의 경우 이러한 문제점들을 펄프소재면에서 접근하여 해 결하고자 하는 시도가 있었다. 중국은 벗짚펄프를 제지용으로 적용하여 오랜 시행착오 끝에 성공을 거두고 있으며, 남미에서도 수수 등을 이용한 제지용 펼프 개발에 노력과 투자를 아끼지 않고 있다. 이는 제한된 원료의 사용만으로 직면하고 있는 여러 문제점 들을 해결하기가 힘들다는 언식에서 출발한 것이며, 새로운 원료개발 자체가 그 해결방 안으로서 충분한 가치가 있음을 보여준다고 하겠다. 이와 같은 맥락에 따라 국내에서 적용이 가능한 소재를 조사하였으며 우선적으로 신서란을 선택하게 되었다. 신서란은 뉴질랜드가 원산지로 알려져 있으며 오래전부터 제주도에 자생하고 있는 다년생 초본류이다. 수많은 경질섬유(hard fiber)중에서도 경제적으로 재배되는 유일한 작물로 선박용 로프, 그물, 범포 등의 원료로 사용되었으나 현재는 화학섬유로 대체되 어 그 사용이 전무한 실정이다. 선서란은 고강도와 우수한 유연성, 탄력성 및 양호한 광학적 성질을 가지고 있으며 무엇보다 척박한 땅에서도 생장이 왕성하여 재배가 쉽다 는 것이 가장 큰 장점이다. 본 연구는 펄프용 섬유로서 양호한 기본특성을 가진 신서란 을 이용한 펄프를 기존 제지공정에 일정량 투입함으로써 얻고자 하는 종이의 일반물성 개선 및 특수기능 향상에 도움이 되는 제지용 펄프로서의 가능성을 알아보고자 하였다.이어서 몇십%의 현을 억제하지는 못한다는 결론을 도출할 수 있었다. 연구의 결과를 요약하면 다음과 같다. 첫째, 한국과 미국 패션제품의 지난 십년간의 가격 과 품질의 상관관계는 매우 약한 정(+)의 상관을 가지고 있었다. 한국패션제품의 전체 서열상관계수의 평균은 0.091이었고, 미국의 상관계수 평균은 0.192였 다. 상관계수의 수치만으로 볼 때 한국보다는 미국 패션제품의 가격과 품질간의 상관관계가 조금 높게 나타났으나, 양국간 통계적인 차이는 없었다. 또한, 한국 패션제품의 경우에는 제품군의 가격대별 상관관계를 살펴보았는데, 그 결과 1만원 미만의 저가 제품군과 330만원이상의 고가의 제품군의 경우 부(-)의 상관계수를 나타냈다. 둘째. 1990년대 한국과 미국 패션시장의 가격과 품질간의 상관계수의 범위는 제품군별. 산업범주별 로 상이한 분포를 보이고 있었다. 패션제품군별로 보 면, 한국의 경우는 가장 높은 '여행용가방(r = 0.707)' 에서 가장 낮은 '자외선 차단화장품(r = -0.58)'까지, 그리고 미국 패션제품군의 상관계수의 범위는 '팬티 스타킹'의 0.820에서 '남성용 런닝슈즈'의 -0.472까지의 분포를 나타냈다. 마지막으로, 제품의 가격과 품질에 대한 정보를 소비자가 알 경우 얻을 수 있는 소비자의 구매이득 을 추산한 결과 패션제품시장에서 완전한 품질정보를 가지고 있다고 가정한 '현명한 사람'은, 최고가격의 제품만을 구입한다고 가정한 '부유한 사람들'의 구입방식에 비해 최고 좋은 품질의 상품을 총 지불액의 비율로 보아, 한국의 소비자는 약 50% 정도를, 미국의 소비자는 약 91%나 되는 액수를 절약하여 구매할 수 있는 것으로 나타났다. 이상의 본 연구의 결과를 종합하여 볼 때 한국과 미국 모두 제품군별, 그리고 산업범주별로 상관관계가 차이를 보이고 있어, 양국의 소비자들이 패션제품 의 품질을 평가함에 있어 오로지 가격에 대한

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.12
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• pp.1740-1745
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• 2009

In this study, effect of resveratrol concentration on wine taste was investigated. Content of resveratrol in 14 different wines were quantified using HPLC. The resveratrol concentrations in the Australian wine samples (grape species: Syrah) with 3 vintage years were analyzed and different concentrations of resveratrol were observed (2.89-3.84 mg/L). Variation in wine grape species with the same wine manufacturer (Chile, 2006) and variation in different manufacturing country of origin with same wine grape species (Cabernet Sauvignon, 2006) also produced the variations in resveratrol concentration. The preference analysis (color, aroma, taste,astringency and overall acceptability) of the sample wines were determined by 15 panelists using 5-point hedonic scale. When the analysis results of the resveratrol concentrations in the sample wines were compared with the preference analysis of sample wines, the resveratrol concentration in the wine produced the positive effects in the wine preference analysis in the factors of aroma, taste and color.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.357-363
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• 2021

In general, people choose clothes to wear when they go out, referring to real-time weather and temperature. However, it is difficult for an individual to use real-time weather information and his or her temperature sensitivity information to choose the right clothes from among the clothes he or she owns. Existing clothing recommendation systems developed to help with these problems have problems recommending clothes that are not clearly set in the clothing category and are not in the possession of the user. In addition, user-specific temperature sensitivity is not taken into account, resulting in inappropriate clothing recommendations for users. To solve these problems, this study developed a system that determines and registers clothing categories for the clothing owned by the user, and recommends customized clothing for each user by considering temperature sensitivity and real-time weather information. In the case of weather information, not only weather information such as temperature and wind direction, but also clothes based on temperature sensitivity were recommended based on the calculation of temperature sensitivities. A satisfaction survey of 65 university students was conducted to assess the system. As a result, 80% of the respondents were satisfied with the recommended clothing, indicating that the satisfaction of the system was good. Therefore, it is expected that this system will be highly utilized in real life as it will be recommended based on clothes owned by individuals, reflecting individual temperature sensitivity.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.97-130
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• 2024

The current debate in the academic community is on the criteria for predatory journals. Researchers are perplexed about what constitutes a predatory journal. The purpose of this study is to investigate how South Korean researchers discover and evaluate predatory journals. In order to achieve this, we collected 2,484 statements, comprising posts and comments, from Korean researcher communities, namely the Biological Research Information Center (BRIC), Hibrain.net, Phdkim.net, and the Scholarly Ecosystem Against Fake Publication Environment (SAFE). We divided the data into three primary categories-journals, publishers, and researchers-for the topic analysis. For each statement, we assigned 11 in-depth subtopic tags based on these categories. Six main points of contention emerged from the combinations of these sub-topic tags: (1) researchers' confusion about predatory journals and discussions about research performance; (2)(3) researchers' positive and negative perceptions of predatory journals; (4) researchers' evaluation criteria for journal quality and problems associated with the quality of Korean journals; (5) changes in publishing brought about by the introduction of open access (OA) and associated issues; and (6) discussions on broader issues within the academic ecosystem. By using a qualitative approach to examine how South Korean researchers view predatory journals, this study aims to advance basic knowledge of the discourse around them in the communities of domestic researchers.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• KIPS Transactions on Software and Data Engineering
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• v.13 no.1
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• pp.35-49
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• 2024

Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1101-1112
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• 2004

In this paper, we propose a Web page weighting scheme using the user preference in each sense of query word to improve the performance of Web search. Generally search engines assign weights to a web page by using relevancy only, which is obtained by comparing the query word and the words in a web page. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy In this paper we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to senses, so that more accurate search is possible. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.

• Journal of the Korean GEO-environmental Society
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• v.6 no.3
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• pp.35-45
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• 2005

The rockfall protection fence is one of the most common rockfall protection methods in Korea. The typical rockfall protection fence consists mainly of three parts ; H-beam supports, wire meshes, and wire ropes. The design of the rockfall protection fence is made such that the total energy absorbing capacity of the fence. Therefore, resulting from the combined energy absorbing capacity of the three parts is larger than the falling energy of rocks. In present study, a new rockfall protection fence, constructed using expanded metals instead of the existing wire rope and wire mesh for the typical type of rockfall protection fence, was evaluated on its performance by conducting both laboratory and field tests. Also, for a comparison, the same tests were performed on the typical rockfall protection fence. The test results revealed that the expanded material is an economic alternative to the existing protection materials and the expanded metal rockfall protection fence exhibits the higher energy absorbing capacity compared to that of the typical rockfall protection fence.