• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.342-345
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• 2023

최근 자연어처리 연구 중 오픈 도메인 지식 기반 대화는 많은 관심을 받고 있다. 연구를 위해서는 오픈 도메인 환경을 갖추고 적절한 지식을 사용한 대화 데이터셋이 필요하다. 지금까지 오픈 도메인 환경을 갖춘 한국어 지식 기반 대화 데이터셋은 존재하지 않아 한국어가 아닌 데이터셋을 한국어로 기계번역하여 연구에 사용하였다. 이를 사용할 경우 두 가지 단점이 존재한다. 먼저 사용된 지식이 한국 문화에 익숙하지 않아 한국인이 쉽게 알 수 없는 대화 내용이 담겨있다. 그리고 번역체가 남아있어 대화가 자연스럽지 않다. 그래서 본 논문에서는 자연스러운 대화체와 대화 내용을 담기 위해 새로운 오픈 도메인 한국어 지식 기반 대화 데이터셋을 구축하였다. 오픈 도메인 환경 구축을 위해 위키백과와 나무위키의 지식을 사용하였고 사용자와 시스템의 발화로 이루어진 1,773개의 대화 세트를 구축하였다. 시스템 발화는 크게 지식을 사용한 발화, 사용자 질문에 대한 답을 주지 못한 발화, 그리고 지식이 포함되지 않은 발화 3가지로 구성된다. 이렇게 구축한 데이터셋을 통해 KE-T5와 Long-KE-T5를 사용하여 간단한 실험을 진행하였다.

• Annual Conference of KIPS
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• 2023.11a
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• pp.311-313
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• 2023

딥러닝에 대한 관심이 증가함에 따라 다양한 분야의 연구자 사이에 딥러닝 모델의 적용 및 재현이 중요한 작업으로 자리잡았다. 하지만 모델을 재현하고 활용하는데 있어 다양한 환경과 자원의 한계가 발생하여 문제가 되고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 국가연구데이터커먼즈체계인 KRDC 프레임워크를 활용하여 딥러닝 학습 모델의 재현 방안을 제안하였다. 이를 통해 딥러닝 연구에 익숙하지 않은 사용자도 학습 모델의 적용 및 활용을 용이하게 할 수 있음을 확인하였다. KRDC 프레임워크는 사용자가 원하는 데이터와 태스크를 정의하고, 워크플로우로 구성, 학습 모델의 재현 및 활용을 지원한다.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.11-21
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• 2015

As growing interest in Human-Computer Interaction(HCI), research on HCI has been actively conducted. Also with that, research on Natural User Interface/Natural User eXperience(NUI/NUX) that uses user's gesture and voice has been actively conducted. In case of NUI/NUX, it needs recognition algorithm such as gesture recognition or voice recognition. However these recognition algorithms have weakness because their implementation is complex and a lot of time are needed in training because they have to go through steps including preprocessing, normalization, feature extraction. Recently, Kinect is launched by Microsoft as NUI/NUX development tool which attracts people's attention, and studies using Kinect has been conducted. The authors of this paper implemented hand-mouse interface with outstanding intuitiveness using the physical features of a user in a previous study. However, there are weaknesses such as unnatural movement of mouse and low accuracy of mouse functions. In this study, we designed and implemented a hand mouse interface which introduce a new concept called 'Virtual monitor' extracting user's physical features through Kinect in real-time. Virtual monitor means virtual space that can be controlled by hand mouse. It is possible that the coordinate on virtual monitor is accurately mapped onto the coordinate on real monitor. Hand-mouse interface based on virtual monitor concept maintains outstanding intuitiveness that is strength of the previous study and enhance accuracy of mouse functions. Further, we increased accuracy of the interface by recognizing user's unnecessary actions using his concentration indicator from his encephalogram(EEG) data. In order to evaluate intuitiveness and accuracy of the interface, we experimented it for 50 people from 10s to 50s. As the result of intuitiveness experiment, 84% of subjects learned how to use it within 1 minute. Also, as the result of accuracy experiment, accuracy of mouse functions (drag(80.4%), click(80%), double-click(76.7%)) is shown. The intuitiveness and accuracy of the proposed hand-mouse interface is checked through experiment, this is expected to be a good example of the interface for controlling the system by hand in the future.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.110-122
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• 2014

As multimedia technologies develop, three-dimensional (3D) technologies are attracting increasing attention from researchers. In particular, video quality assessment (VQA) has become a critical issue in stereoscopic image/video processing applications. Furthermore, a human visual system (HVS) could play an important role in the measurement of stereoscopic video quality, yet existing VQA methods have done little to develop a HVS for stereoscopic video. We seek to amend this by proposing a 3D visual attention (3DVA) model which simulates the HVS for stereoscopic video by combining multiple perceptual stimuli such as depth, motion, color, intensity, and orientation contrast. We utilize this 3DVA model for pooling on significant regions of very poor video quality, and we propose no-reference (NR) stereoscopic VQA (SVQA) method. We validated the proposed SVQA method using subjective test scores from our results and those reported by others. Our approach yields high correlation with the measured mean opinion score (MOS) as well as consistent performance in asymmetric coding conditions. Additionally, the 3DVA model is used to extract information for the region-of-interest (ROI). Subjective evaluations of the extracted ROI indicate that the 3DVA-based ROI extraction outperforms the other compared extraction methods using spatial or/and temporal terms.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.9-16
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• 2012

Social Network Service (SNS) such as Twitter and Facebook has explosively grown nationwide since iPhone was introduced to Korea in 2009. In addition, KakaoStory has recently opened and joined to the SNS market, and it has grown to one of the most popular SNS in the domestic market in a short period of time. Social Network Service supports not only the formation of relationship between SNS users in common interests but also various activities such as management of personal connections and the sharing of information or contents. These three types of SNS have several common functions of sharing and distributing various contents rooted on the personal relationship formed through SNS. As each SNS user has specific reasons for the use of each service, a survey was conducted targeting those who use all of Twitter, Facebook, and KakaoStory was drawn by the statistical analyses of survey answers on users' reasons for each service. This result of study suggests factors to consider in order to exploit a new SNS or to enhance an existing service and can be used as a standard of which SNS for users to select for their own different purposes. It will also provide the basic data for the trust formation, one of the ethics in the upcoming Social Era.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.147-153
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• 2014

The numerous improved schemes of remote user authentication based on password have been proposed in order to overcome the security weakness in user authentication process. Recently, some of biometric-based user authentication schemes to use personal biometric information have been introduced and they have shown the relatively higher security and the enhanced convenience as compared to traditional password-based schemes. These days wireless sensor network is a fundamental technology in face of the ubiquitous era. The wireless sensor networks to collect and process the data from sensor nodes in increasing high-tech applications require important security issues to prevent the data access from the unauthorized person. Accordingly, the research to apply to the user authentication to the wireless sensor networks has been under the progress. In 2010, Yuan et al. proposed a biometric-based user authentication scheme to be applicable for wireless sensor networks. Yuan et al. claimed that their scheme is effectively secure against the various security flaws including the stolen verifier attack. In this paper, author will prove that Yuan et al.'s scheme is still vulnerable to the password guessing attack, user impersonation attack and the replay attack, by analyzing their security weakness.

• Information Systems Review
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• v.8 no.2
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• pp.139-154
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• 2006

Recommender systems help users find their interesting items more easily or provide users with meaningful items based on their preferences. Collaborative filtering(CF) recommender systems, the most successful recommender system, use opinions of users to recommend for an active user who needs recommendation. That is, ratings which users have voted on items to indicate preference on them are the source for making recommendation. Although CF systems are designed only to use users' preferences as the source of recommendation, use of some available information is believed to increase both the performance and the accuracy of CF systems. In this paper, we propose a CF recommender system which utilizes both degree of match and demographic information(e.g., occupation, gender, age) to increase the performance and the accuracy. Since more and more information is accumulated in CF systems, it is important to reduce the data volume while maintaining the same or the higher level of accuracy. We used both degree of match and demographic information as criteria for reducing the data volume, thereby naturally enhancing the performance. It is shown that using degree of match improves the prediction accuracy too in CF systems and also that using some demographic information also results in better accuracy.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.504-510
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• 2009

Recently, personalized-adaptive services became the center of interest in the world. However the services about music are not widely diffused out. That is because the analyzing of music information is more difficult than analyzing of text information. In this paper, we propose a music recommendation system which provides personalized services. The system keeps a user's listening list and analyzes it to select pieces of music similar to the user's preference. For analysis, the system extracts properties from the sound wave of music and the time when the user listens to music. Based on the properties, a piece of music is mapped into a point in the property space and the time is converted into the weight of the point. At this time, if we select and analyze the group which is selected by user frequently, we can understand user's taste. However, it is not easy to predict how many groups are formed. To solve this problem, we apply the K-means clustering algorithm to the weighted points. We modified the K-means algorithm so that the number of clusters is dynamically changed. This manner limits a diameter so that we can apply this algorithm effectively when we know the range of data. By this algorithm we can find the center of each group and recommend the similar music with the group. We also consider the time when music is released. When recommending, the system selects pieces of music which is close to and released contemporarily with the user's preference. We perform experiments with one hundred pieces of music. The result shows that our proposed algorithm is effective.

• Archives of design research
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• v.17 no.1
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• pp.265-276
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• 2004

User experience in web site is beyond Usability, and should be understood in a context. However, the concrete contextual factors of web site experience is not systematically established enough. Therefore, the objective of this research is to establish a framework of mapping experiential context factors with analyzing real web site use cases, and to propose how it is can be applied in the process of web site contents planning. First of all, theoretical framework for the web experience and contextual factors was prepared by secondary research. Second, user experience on music casting sites was collected through web diary method, self-video recording method, and group interview. Then, collected experience was re-constructed with scenarios. Scenarios are analyzed into contextual factors and these factors are categorized, given hierarchies and located into context map. Third, the possibility of applying the context map of web site experience was discussed. The systematical and concrete sample of context map based on practical use cases can be applied in the innovative and cross-genre web contents planning process.

• Smart Media Journal
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• v.7 no.3
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• pp.43-50
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• 2018

Hanok (a traditional Korean-style house) has recently become a popular attraction for tourists all over the world. Jeonju Hanok Village, for example, attracted about 10 million visitors for 2 consecutive years. Observing Hanok's popularity, many local governments drew up plans to improve tourism dynamics by strengthening the advantages of Hanok. Emotionally rich experience is required to offer a greater satisfying experience that meets the demands of tourists. However, very few studies yet have addressed how to measure those emotions felt by users while experiencing Hanok. As an attempt to improve this situation, 182 emotional words were collected from earlier studies and classified into 33 groups with the Delphi method. Among the emotional words in each of the 33 groups, those of overlapping concepts on the characteristics of Hanok were re-grouped, and extracted the most appropriate 68 words. Additionally, a survey was conducted with 325 people who had experienced Hanok to gather 30-most representative emotions for measuring emotions felt from Hanok. The factor analysis of the 30 representative emotions resulted in classified 6 factors based on common features of emotional words: senses of aesthetics, happiness, novelty, ownership, balance and relaxation. The 30 representative emotions and six emotion categories found out by this study can help measure how much people feel certain emotions while experiencing hanoks. Further study will explore the degree of emotions hanok users feel about objects of hanok, such as roof materials and shapes, and body shapes.