• International Area Studies Review
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• v.13 no.3
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• pp.849-871
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• 2009

This paper examined the effects of empowerment on international marriage migrant women. The assimilation, integration, separation, and marginality were as proxy for the cultural adaptiveness. The power distance, uncertainty avoidance, individualism, masculinity, long term orientation were as proxy for the cultural distance. The self-image, real power, the extent of social participation were as proxy for the empowerment. Based on the analysis of two hundred cases, the following results were found. First, international marriage migrant women's cultural adaptiveness have a positively significant influence on their empowerment. Second, international marriage migrant women's cultural distance have a positively significant influence on their empowerment. Third, international marriage migrant women's cultural adaptiveness and cultural distance have a positively significant influence on their empowerment. This study suggests that cultural adaptiveness and cultural distance are main factors for the empowerment of international marriage migrant women.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3074-3091
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• 2019

With the widespread use of the Internet, services for providing large-capacity multimedia data such as video-on-demand (VOD) services and video uploading sites have greatly increased. VOD service providers want to be able to provide users with high-quality keyframes of high quality videos within a few minutes after the broadcast ends. However, existing keyframe extraction tends to select keyframes whose quality as a keyframe is insufficiently considered, and it takes a long computation time because it does not consider an HD class image. In this paper, we propose a keyframe selection method that flexibly applies multiple keyframe quality metrics and improves the computation time. The main procedure is as follows. After shot boundary detection is performed, the first frames are extracted as initial keyframes. The user sets evaluation metrics and priorities by considering the genre and attributes of the video. According to the evaluation metrics and the priority, the low-quality keyframe is selected as a replacement target. The replacement target keyframe is replaced with a high-quality frame in the shot. The proposed method was subjectively evaluated by 23 votes. Approximately 45% of the replaced keyframes were improved and about 18% of the replaced keyframes were adversely affected. Also, it took about 10 minutes to complete the summary of one hour video, which resulted in a reduction of more than 44.5% of the execution time.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.451-456
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• 2018

UAVs (Unmanned Aerial Vehicles) are widely used for maintenance and monitoring of facilities. It is necessary to acquire a high-resolution image for evaluating the appearance state of the facility in safety inspection. In addition, it is essential to acquire the video data in order to acquire data over a wide area rapidly. In general, since video data does not include position information, it is difficult to analyze the actual size of the inspection object quantitatively. In this study, we evaluated the utilization of 3D point cloud data of bridges using a matching between video frames and reference photos. The drones were used to acquire video and photographs. And exterior orientations of the video frames were generated through feature point matching with reference photos. Experimental results showed that the accuracy of the video frame data is similar to that of the reference photos. Furthermore, the point cloud data generated by using video frames represented the shape and size of bridges with usable accuracy. If the stability of the product is verified through the matching test of various conditions in the future, it is expected that the video-based facility modeling and inspection will be effectively conducted.

• Resources Recycling
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• v.28 no.2
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• pp.23-30
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• 2019

An color sorting technique was introduced to recycle End-of-life automobile shredded bumpers. The color sorting is a innovate method of separating the differences in the color of materials which are difficult to separate in gravity and size classification by using a camera and an image process technique. Experiments were planned and optimal conditions were derived by applying BBD (Box-Behnken Design) in the reaction surface method. The effects of color sensitivity, feed rate and sample size were analyzed, and a second-order reaction model was obtained based on the analysis of regression and statistical methods and $R^2$ and p-value were 99.56% and < 0.001. Optimum recovery was 94.1% under the conditions of color sensitivity, feed rate and particle size of 32%, 200 kg/h, and 33 mm respectively. The recovery of actual experiment was 93.8%. The experimental data agreed well with the predicted value and confirmed that the model was appropriate.

• Journal of radiological science and technology
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• v.42 no.2
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• pp.137-143
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• 2019

The aim of this study was analyzed the setup error of breast cancer patients in intensity modulated radiation therapy(IMRT) with deep inspiration breath holding(DIBH) and was analyzed the dose distribution due to setup error. A total of 45 breast cancer cases were performed a retrospective clinical analysis of setup error. In addition, the re-treatment planning was carried by shifting the setup error from the isocenter at the treatment. Based on this, the dose distribution of PTV and OARs was compared and analyzed. The 3D error for small breast group and medium breast group and large breast group were 3.1 mm and 3.7 mm and 4.1 mm, respectively. The difference between the groups was statistically significant(P=0.003). DVH results showed HI, CI for the PTV difference between standard treatment plan and re-treatment plan of 14.4%, 4%. The difference in $D_5$ and $V_{20}$ of the ipsilateral lung was 5.6%, 13% respectively. The difference in $D_5$ and $V_5$ of the heart of right breast cancer patients was 6.8%, 8% respectively. The difference in $D_5$, $V_{20}$ of the heart of left breast cancer patients was 7.2%, 23.5% respectively. In this study, there was a significant association between breast size and significant setup error in breast cancer patients with DIBH. In addition, it was found that the dose distribution of the PTV and OARs varied according to the setup error.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.447-454
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• 2018

The purpose of this study is to analyze the historical background and characteristics of pop art style and motif expressions in the works of artists by analyzing the theoretical study of pop art and analyze how the expression characteristics are applied to ceramic works. As a result of the analysis of the work, various images of everyday objects in popular culture are expressed in various ways such as bright and colorful colors, silk screen, lettering, photo montage, cartoon expression, object, collage, decoupage, It is believed that the art of ceramics will be created as a creative work that reinterprets the artistic value rather than reproducing the art based on the technique of pop art. I look forward to the development.

• The Korean Journal of Archival Studies
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• no.58
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• pp.95-145
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• 2018

As a communication language, non-text records and archives such as photographs, images, and videos are becoming more important than text records. As a result, domestic institution, organizations, and specialists related to record management have been emphasizing the necessity of the archive management system appropriate for the distinctive characteristics of image records. This paper summarizes the points to be considered for the establishment of the Korean audiovisual archives management system, based on the writer's experience of participating in the International Audiovisual Archives Management Training for professionals in the world(INA Frame) of 2018. In particular, various types of contents including cinema, broadcasting, cultural should be managed at the national level. Furthermore, the necessity of a new concept establishment for "public audiovisual heritage" is accentuated. In addition, the tasks regarding the establishment of foundation, such as the modification of the related systems and infrastructures, and the layouts of the institution or governance, should be reviewed and revised. Moreover, the preliminary tasks revised, should be lead to the establishment of stable management system for public audiovisual archives of Korea.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1445-1456
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• 2018

Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.27-36
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• 2017

In this study, we analyzed service quality factors of O2O delivery app based on Kano model and survey, and classified service quality into several dimensions. As a result of the analysis, the one dimensional quality factors were accurate information transmission, variety of restaurants, diversity of payment methods, diversity of menu selection, discomfort resolution, kindness of service, taste and quality of food, hygiene and cleanliness, Attractive quality factors such as updated information, reliable reviews, various ordering methods, fast delivery, brand image, discount point payment and accumulation. Although the must-be quality factor did not appear, it turned out that the discomfort resolution was close to the must-be quality factor. The indifferent quality factors were informational services, events and promotions. The O2O delivery app market is continuing to grow and competition is getting more and more intense. The results of this study will help O2O delivery app vendors to establish strategies to focus on certain quality of service factors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.4
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• pp.381-387
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• 2019

The limitations of applying a variety of artificial intelligence to the medical community are, first, subjective views, extensive interpreters and physical fatigue in interpreting the image of an interpreter's illness. And there are questions about how long it takes to collect annotated data sets for each illness and whether to get sufficient training data without compromising the performance of the developed deep learning algorithm. In this paper, when collecting basic images based on acne data sets, the selection criteria and collection procedures are described, and a model is proposed to classify data into small loss rates (5.46%) and high accuracy (96.26%) in the sequential structure. The performance of the proposed model is compared and verified through a comparative experiment with the model provided by Keras. Similar phenomena are expected to be applied to the field of medical and skin care by applying them to the acne classification model proposed in this paper in the future.