• 한국수학교육학회지시리즈A:수학교육
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• 제60권2호
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• pp.209-228
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• 2021

본 연구의 목적은 수학과 교육과정에 기반한 평가 문항을 출제할 때 핵심적으로 고려되는 수학 역량 및 표현 형식 특성을 규명하고, 수학과 평가 문항에서 수학 역량 및 표현 형식 특성이 나타나는 양상을 밝히는 것이다. 선행 연구 분석 및 2차에 걸친 타당성 조사를 통해, 수학과 교육과정에 기반한 평가 문항의 특성으로 수학 역량 범주는 12가지, 표현 형식 범주는 8가지를 추출하고, 이 특성들로 구성된 문항 특성 분석틀을 개발하였다. 또한 문항 특성 분석틀을 활용하여 2019년 국가수준 학업성취도 평가 문항을 분석한 결과, 중 고등학교의 수학 역량 및 표현 형식 특성에 대한 출제 경향에 차이가 있음을 밝혔다.

• Communications for Statistical Applications and Methods
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• 제23권6호
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• pp.531-541
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• 2016

Cerebral atrophy affects the brain and is a common feature of patients with mild cognitive impairment or Alzheimer's diseases. It is evaluated by the radiologist or reader based on patient's history, age and the space between the brain and the skull as indicated by magnetic resonance (MR) images. A total of 70 patients were scanned in the supine and prone positions before three radiologist assessed their atrophy level. This study examined the radiologist's assessment of the cerebral atrophy level using a graded response model of item response theory (IRT). A graded response model (GRM) is fitted to our data and then item-fit and person-fit statistics are evaluated to assess the fitted model. Our analysis found that the cerebral atrophy level is better discriminated by readers in the prone position because all item slopes were greater than 2 at this position, versus the supine position where all the slope parameters were less than 1. However, the thresholds are very similar for the first reader and are quite different for the second and third readers because the scanning position affects readers differently as the category threshold estimates vary considerably between the readers..

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1413-1432
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• 2023

Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.500-519
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• 2019

The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

• 지능정보연구
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• 제18권4호
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• pp.1-17
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• 2012

온라인 상에서 판매되는 상품은 매우 다양하지만, 소비자에게 판매 가격을 제시하거나 소개글을 통해서 상품에 대한 구체적인 설명을 제공한다는 점은 모든 상품에 있어서 가장 기본이 되는 공통적인 특징이다. 만약, 상품의 실제 품질이나 가격과는 독립적으로 상품 소개글이 판매에 미치는 영향력을 파악할 수 있다면 어떠한 소개글이 상품의 판매를 촉진하는 측면에서 더 좋은 글인지 분별할 수 있게 된다. 이런 관점에서 본 연구는 상품 소개글과 판매 성과의 관계를 파악하기 위한 목적으로 수행되었으며, 구체적으로는 온라인 시장에서 한글로 작성된 상품 소개글에 쓰인 각각의 표현 별로 소비자가 구매를 결정하는 데에 어떤 영향을 미치는지를 분석하고자 하였다. 한글 형태소 분석기를 사용하여 국내 앱 시장에서 수집된 앱 소개글 및 판매이력 데이터로부터 상품을 설명하는 주요 속성과 그 속성에 대한 평가를 추출하였으며, 추출된 키워드를 입력 변수로 구성한 계량경제학 모형을 구축하였고, 구체적으로 특정 표현들이 판매 성과에 미치는 영향을 구축된 모형을 사용하여 계량적으로 측정하였다. 앱의 카테고리 별로 표현의 종류가 상이하게 나타남이 관찰됨에 따라, 분석은 각 카테고리 별로 수행되었다. 유료 앱과 무료 앱에 대해서 데이터 분석을 수행한 결과, 판매 성과에 영향을 미치는 '속성과 평가' 키워드를 그 영향력의 크기 별로 파악할 수 있었으며, 특히 무료 앱의 경우는 무료로 이용할 수 있음에도 불구하고 품질이 좋다는 것을 강조했을 때 판매량을 더 높일 수 있다는 것이 확인되었다. 본 연구는 모바일 앱에 대해 수행되었으나, 온라인에서 거래되는 다양한 상품에 대해서도 소개글이 판매 성과에 미치는 영향을 분석할 수 있는 모형으로 활용될 수 있다. 마지막 장에서는 기업의 마케팅 매니저가 본 연구에서 제시하는 연구 방법론과 분석 결과를 활용할 수 있는 방안을 제시하였다.

• 복식문화연구
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• 제17권6호
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• pp.1009-1020
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• 2009

This study aims to express the androgynous image via shirts as a fashion item. Shirts are widely worn as a fashion item regardless of sex and age, with growing importance as a casual outer, with the increase in leisure activities driven by the recent implementation of the 5-Day Work Week system in Korea. As for the theoretical background, the study was reviewed previous studies of books, thesis, a series of publication, and the Internet sites on this topic. Through a careful analysis of these previous studies, it designed and made shirts that inspired by androgynous image. Conclusions of this study are as follows: First, the study found that meanings of symbolism in clothing continue to change, not fixed at all, depending on historic and cultural environments, and so does symbolism for femininity and masculinity of clothing. Second, shirts are widely worn as a fashion item regardless of sex and age, with growing importance as a casual outer, with the increase in leisure activities driven by the recent implementation of the 5-Day Work Week system in Korea. Third, two patters were used for the work in this study in order to emphasize its form, along with mono color white and stripe patterns. For materials, cotton and blend as a most basic material for a shirt were used with unique variations in the form. Fourth, decorative details or trimming such as ribbon tying methods, shirring, attaching in layers, and irregular pleading widely used for women's wear were applied, and silhouettes with strong drape feelings were used to add feminine feature to men' shirts, in an effort to propose a fashion design of the androgynous look. Fifth, clothes proposed in this study are different from feminine clothing item blouse, because they are androgynous shirts mixing masculinity and femininity. Stiff pads were used in collars and cuffs characteristics of men's traditional shirts to maintain masculinity of a shirt, and design was developed by adding feminine decorative elements, which is different from women's blouse.

• 비교문화연구
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• 제37권
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• pp.383-400
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• 2014

Synonym means that the conceptual meaning of the word is the same or similar while other meanings or function of language difference may exist. That is two or more identified names correspond with one sense and have the words with minor difference. Words with synonym relation are a set of same meaning but conceptual area or emotional color, language function can be identified. Therefore, the core research of synonym is the difference analysis and in general difference analysis is progress in the three aspects of Meaning, Pragmatic, and Semantic. However, the difference analysis is the most important. In this paper, the set of meaning item of synonym word 'Attack' is 'zheng', 'fa', 'tao', 'qin', 'xi'. We compare the meaning of five verbs and analyze the difference and characteristics.

• 한국콘텐츠학회논문지
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• 제8권3호
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• pp.1-7
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• 2008

유비쿼터스 컴퓨팅의 발달로 인하여 다양하고 폭넓은 정보가 디지털 형태로 빠르게 생산 및 배포되고 있다. 사용자가 이러한 정보과잉 속에서 자신이 원하는 정보를 단시간 내에 검색하는 것은 그리 쉬운 일이 아니다. 본 논문에서는 이미지 기반 필터링을 이용한 개인화 아이템 추천 기법을 제안한다. 피상적인 내용분석이라는 단점을 개선하기 위하여 사용자가 관심을 가지는 이미지 데이터로부터 특징을 추출하는 이미지 기반 필터링을 사용하였다. 제안한 방법에 대해 MovieLens 데이터에서 내용 기반 필터링과 협력적 필터링과의 비교 실험을 통해 성능을 평가하였다. 실험 결과, 제안한 방법이 기존의 다른 방법보다 우수함을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1814-1829
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• 2011

In this paper, we present a model-based video bit rate estimation scheme for reducing the bit rate while maintaining a given target quality in many video streaming services limited by network bandwidth, such as IPTV services. Each item of video content can be stored on a video streaming server and delivered with the estimated bit rate using the proposed scheme, which consists of the following two steps: 1) In the first step, the complexity of each intra-frame in a given item of video content is computed as a frame feature to extract a group of candidate frames with a lot of bits. 2) In the second step, the bit rate of the video content is determined by applying statistical analysis and hypothesis testing to that group. The experimental results show that our scheme can reduce the bit rate by up to 78% with negligible degradation of subjective quality, especially with the low-complexity videos commonly used in IPTV services.

• 한국생활과학회지
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• 제23권3호
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• pp.515-527
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• 2014

This study is intended to develop the creative and high value-added products as well as the development of diversity for jump suit for the future by analyzing the trend and feature shown in jump suit in the modern fashion. In the research methodology, the analysis was carried out over a total of 351 work pieces on jump suit among those presented in the collection of Paris, Milan, New York and London from 2006S/S to 2013F/W as well as literature review. The aesthetic features on suit jump design introduced in the modern fashion could be characterized as the following. First, both upper and lower garments are composed with a simple array of items and the stress was put on modernity feature through minimal expression technique. The feature of solid simplicity was also given with achromatic color or neutral monochrome. Second, the feminity image was emphasized with adoption of such highlighting items as detailed add-ons, tops, camisoles and blouses that stress the organically curved streamline including silhouette, material itself, crease and drape that enable the direct and indirect exposition of human body and the expression of smooth curve in human body. Third, jump suit revealed the multipurpose feature as item available for the diverse wear such as working habiliment, sports wear, uniform, office wear and evening wear, depending on the terms and conditions. Fourth, the deconstructive characteristic appeared through integration with various items, destruction of formative structure, non-structural shape, and ambiguity in wearing method.