• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1139-1149
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• 2006

This paper describes a novel and efficient algorithm, which extracts focused objects from still images with low depth-of-field (DOF). The algorithm unfolds into four modules. In the first module, a HOS map, in which the spatial distribution of the high-frequency components is represented, is obtained from an input low DOF image [1]. The second module finds OOI candidate by using characteristics of the HOS. Since it is possible to contain some holes in the region, the third module detects and fills them. In order to obtain an OOI, the last module gets rid of background pixels in the OOI candidate. The experimental results show that the proposed method is highly useful in various applications, such as image indexing for content-based retrieval from huge amounts of image database, image analysis for digital cameras, and video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing system.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.804-814
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• 2000

In this paper, we propose an effective method to detect the regions of interests in the Videostrobokymography System. Videostrobokymography system is a medical image processing system for extracting automatically the diagnosis parameters from the irregular vibratory movements of the vocal fold. We detect the regions of interests through three steps. In the first step, we remove the noise in the input image and we find the minimum energy value in each frame. In the second step, we computed the edge by everage value for the one line. In the third step, the regions of interests can be extracted by using the Merge Algorithm which uses the variance of luminance as the feature points. We experimented this method for the vocal fold images of nineteen patients. In consequence, the regions of interests are detected in most vocal fold images. The method proposed in this study is efficient enough to extract the region of interests in the vocal fold images with the frame rate of 40 frames/second and the resolution of 200${\times}$280 pixels.

• Proceedings of the Speleological Society Conference
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• 1992.07a
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• pp.35-39
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• 1992

인간은 누구를 막론하고 미지의 지역에 대한 동경과 아울러 그 지역을 방문해 보고자 하는 기본적인 심리를 가지고 있다. 특히 경제적 여유가 신장되고 관광에 대한 일반의 관심이 대단히 높아지면서 우리 주변에 산재하고 있는 관장자원들에 대해 관심을 가지게 된다. 지속적으로 늘어나는 관광객들 개개인의 서로 다른 욕구와 취향, 또는 외부적 여건으로 인한 지각(Perception)의 결과 관광 환경에 대한 상이한 Image가 형성될 것이며, 이는 곧 관광 주체로 하여금 관광지를 선택하게 하는데 있어서 중요한 역할을 하게 될 것이다. 관광지리학 분야에서의 관광자원 또는 Wildness에 대한 인지행동론적 연구는 1960년대의 주관적 환경을 강조하는 행태지리학에서 시작되었으며 관광 목적지에 대한 지각, 인지, Mental Map, 관광행태 등을 포함하고 있다. 이러한 연구들은 대부분 계량적이고 실증적인 시대의 전형적인 산물로서 관광객들의 직접적인 관광형태로 나타나게 하는 의사결정 과정을 중시하는 것이다. 일반적으로 환경에 대한 인지는 과거에 개인의 경험과 현재의 다양한 주변 여건에 의해 크게 달라질 수 있다. 오늘날 인지행태론적 연구는 관광지리학 뿐만 아니라 심리학, 사회학, 인류학 등 사회과학 전반에 걸쳐 연구가 활발하게 이루어 지고 있다. 따라서 본 논고에서는 관광지 및 관광자원에 대한 국내외의 인지행태론적 연구를 검토해 보고 이러한 연구에 많이 이용되고 있는 MDS 분석법을 살펴 보고자 한다.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.2
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• pp.131-139
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• 2008

This paper presents a new saliency map which is constructed by providing dynamic weights on individual features in an input image to search ROI(Region Of Interest) or FOA(Focus Of Attention). To construct a saliency map on there is no a priori information, three feature-maps are constructed first which emphasize orientation, color, and intensity of individual pixels, respectively. From feature-maps, conspicuity maps are generated by using the It's algorithm and their information quantities are measured in terms of entropy. Final saliency map is constructed by summing the conspicuity maps weighted with their individual entropies. The prominency of the proposed algorithm has been proved by showing that the ROIs detected by the proposed algorithm in ten different images are similar with those selected by one-hundred person's naked eyes.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.291-298
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• 2019

The purpose of this study is to analyze the effect of beauty interest on the satisfaction of mask pack use and repurchase. This study analyzed data from 305 copies of the questionnaire on SPSS. The analysis was done using the v21 statistical package program. The results of the analysis showed that the sub-factors of beauty interest had a statistically significant positive (+) effect on the mask-pack satisfaction level, and the sub-factors of mask-pack satisfaction level had a positive effect on repurchase intention. As a result of this study, the higher the consumers' beauty interest, the more important the satisfaction of using the mask pack, and accordingly, the intention to repurchase was increased. Through this study, we can expect successful marketing effects if the mask pack sales company understands the needs of consumers and uses them as marketing elements.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.230-251
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• 2013

This research aims to diagnosis regional science as culture and propose plans for improvement. The study was performed based on a framework for analyses presented by existing literatures. Science culture is divided into two dimensions(individual and social), Each dimension is expected to represent citizen literacy of and regional infrastructure of science culture respectively. Gyeonggi region of Korean metropolitan area has been analyzed for the case study. As a result of the case study, the level of science culture of Gyeonggi region is weak compared with others areas. To improve, we propose some plans such as budget extension, long-term view on investments, strengthen network and organizational system for regional science culture.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.113-124
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• 2017

The existing social search has a problem that search results are not suitable for a user since it does not take into account the recency of the user profile and the interests of similar users. Therefore, studies on a social search considering a temporal attribute and the interests of other users are required. In this paper, we propose a social search scheme that takes into account the recent interests of a user by time and the interests of the most similar users. The proposed scheme analyzes the activity information of a social media user in order to take into account the recent interests of the user. And then the proposed scheme improves the satisfaction and accuracy of search results by combining the interests of similar users with the analyzed information and performing ranking, It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.960-966
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• 2012

It is prevalent to gather the location information from GPS, WiFi and etc, and therefore LBSNS (Location-Based SNS) has increased rapidly (such as location-augmented Twitter services). The message created from LBSNS include the specific area of interests which the message is created in or mentions. It is easy to propagate the location-based information of LBSNS by adapting the retweet function which is efficient way to propagate the message in tweeter. In this paper, we have defined the smart retweet as a automatic retweet function for efficient propagating the messages which is geo-tagging the location of interests. We have designed the smart retweet system based on the tweeter system. The user could specify the area of interests and build the social networking among the users which have interested in common area. The smart retweet system have been implemented by mesh-up services based on Open-API of trweeter and google map. It is expected that the smart retweet service proposed in this paper makes easy sharing of the location-based interesting information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.679-686
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• 2014

Recently, users can get countless images and videos by network. So, the compression technology of image and video is researched more and more. However, the situation which is the interested range of the image is occurred. For instance, since the region of face is more important than background, the image compression technology bases on the region of interest (ROI) is necessary, in the ATM environment. In this research, given the human visual system, which are not sensitive to illumination variations at very dark and light regions of image, we calculate the standard deviation of block and use this value to define the ROI. In encoding process, the relatively high quality can be obtained at the ROI and the relatively low quality can be obtained at the non ROI. In proposed scheme, the feature which is the encoding process according to subjectively image quality can be demonstrated. Finally, this proposed scheme is applied to JPEG standard. The experimental results demonstrate that proposed scheme can achieve better image quality at the high compression ratio.

• Journal of Creative Information Culture
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• v.6 no.3
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• pp.179-187
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• 2020

This study was conducted to verify the effect of convergence education applying computing thinking ability of elementary school students on problem solving ability and interest. The subjects of this study were 23 students in 3rd grade elementary school and 15 students in 6th grade, totaling 38 subjects. As a research method, problem-solving ability and interest were measured through questionnaires, and data were analyzed through T-test to see the pre-post differences of the experimental group. As a result of the study, first, it was found that convergence education applying computing thinking ability had a positive effect on problem solving ability. Second, it was found that convergence education applying computational thinking has a partial effect on the degree of interest by subject. Looking at the details, interest in software education and physical activity was high, but interest in eating habits was relatively low. From the above results, it can be seen that convergence education based on computational thinking contributes to drawing students' problem solving ability, and interest.