• 한국노년학
• /
• v.41 no.4
• /
• pp.469-490
• /
• 2021

This study examined the effect of family cohesion and perception of age-friendly environment on sense of community and the mediating role of perception of age-integration in those relationships by regions. To that end, we used survey data collected from a nation-wide survey from adults who are aged 20 to 85 (N=1,200). ANOVA, structural equation models and bootstrapping mediation tests were conducted. The results showed that family cohesion and one sub-dimension of the age-friendly environment- social participation- increased sense of community in all three regions. Also, perception of age-integration partially mediated the relationship between family cohesion and sense of community in the Metropolitan areas and small cities as well as the relationship between social participation and sense of community in all three regions. Based on the results, authors discussed ways to increase family cohesion and social participation to enhance sense of community.

• Journal of Korea Multimedia Society
• /
• v.9 no.2
• /
• pp.139-150
• /
• 2006

A schematic map is a special purpose map which is generated to recognize it's objects easily and conveniently via simplifying and highlighting logical geometric information of a map. To manufacture the schematic map with road, label and icon, we must generate simplified route map and replace many geometric objects. Performing a give task, however, there are an amount of overlap areas between geometric objects whenever we process the replacement of geometry objects. Therefore we need replacing geometric objects without overlap. But this work requires much computational resources, because of the high complexity of the original geometry map. We propose the schematic map generation system whose map consists of icons and label. The proposed system has following steps: 1) eliminating kinks that are least relevant to the shape of polygonal curve using DCE(Discrete Curve Evolution) method. 2) making an evenly distributed route using CVT(Centroidal Voronoi Tessellation) and Grid snapping method. Therefore we can keep the structural information of the route map from CVT method. 3) replacing an icon and label information with collision avoidance algorithm. As a result, we can replace the vertices with a uniform distance and guarantee the available spaces for the replacement of icons and labels. We can also minimize the overlap between icons and labels and obtain more schematized map.

• Journal of Korea Game Society
• /
• v.6 no.3
• /
• pp.67-76
• /
• 2006

This study is to examine relationship between immersiveness aspect and the recognition of garners who are exposed to PPL (Product Placement Advertisement) in online game. The frequency of exposure, the placement type of PPL, the perception under the threshold of consciousness and the interest at the product and knowledge about PPL have been widely known as the factors of effectiveness in PPL advertising. In this study, 'immersiveness' is newly introduced to investigate the effectiveness of PPL advertising due to the unique characteristics of game which easily leads to immersion. Control group is exposed to movie clip and experimental group to lacing online game. In conclusion, the deep immersion has reduced the perception level of user on PPL except the variable of PPL placement. This study suggests that how to design the PPL placement in game for enhancing marketing effect is all the more vital, in spite of the result that the player in high immersion cannot distinguish different images.

• Journal of Broadcast Engineering
• /
• v.27 no.2
• /
• pp.185-197
• /
• 2022

Recently, deep learning networks with high performance for object recognition are emerging. In the case of object recognition using deep learning, it is important to build a training data set to improve performance. To build a data set, we need to collect and label the images. This process requires a lot of time and manpower. For this reason, open data sets are used. However, there are objects that do not have large open data sets. One of them is data required for license plate detection and recognition. Therefore, in this paper, we propose an artificial license plate generator system that can create large data sets by minimizing images. In addition, the detection rate according to the artificial license plate arrangement structure was analyzed. As a result of the analysis, the best layout structure was FVC_III and B, and the most suitable network was D2Det. Although the artificial data set performance was 2-3% lower than that of the actual data set, the time to build the artificial data was about 11 times faster than the time to build the actual data set, proving that it is a time-efficient data set building system.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.3
• /
• pp.271-274
• /
• 2006

This paper deals with a similarity decision method between the shape of hand-postures and their structures to improve performance of the vision-based hand-posture recognition system. Hand-posture recognition by vision sensors has difficulties since the human hand is an object with high degrees of freedom, and hence grabbed images present complex self-occlusion effects and, even for one hand-posture, various appearances according to viewing directions. Therefore many approaches limit the relative angle between cameras and hands or use multiple cameras. The former approach, however, restricts user's operation area. The latter requires additional considerations on the way of merging the results from each camera image to get the final recognition result. To recognize hand-postures, we use both of appearance and structural features and decide the similarity between the two types of features by learning.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.11a
• /
• pp.216-217
• /
• 2019

As the shipping market deteriorates, shipping companies seek to realize economies of scale by promoting the enlargement of container ships. Container terminal operators are increasingly adopting automated equipment and systems in order to quickly provide services and attract traffic. As such, the competition for each terminal to become a hub port is intensifying. Increased automation of advanced container terminals improves productivity and efficiency In the meantime, Korea remains semi-automated. Therefore, the relevant subject survey through SPSS 23.0 program for analysis of recognition difference, We will check the awareness among stakeholders for the smooth introduction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.10a
• /
• pp.950-953
• /
• 2007

The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd.

• Journal of Elementary Mathematics Education in Korea
• /
• v.23 no.1
• /
• pp.1-17
• /
• 2019

In this study, prospective teachers were involved in arranging the teaching sequence of multiplication and division of fractions and decimal numbers based on their experience and knowledge of school mathematics. As a result, these activities provided an opportunity to demonstrate the prospective teachers' perception. Prospective teachers were able to learn the knowledge they needed by identifying the differences between their perceptions and curriculum. In other words, prospective teachers were able to understand the mathematical relationships inherent in the teaching sequence of multiplication and division of fractions and decimal numbers and the importance and difficulty of identifying students' prior knowledge and the effects of productive failures as teaching methods.

• Journal of IKEEE
• /
• v.25 no.1
• /
• pp.25-31
• /
• 2021

The conventional credit card number recognition system generally needs a card to be placed in a designated location before its processing, which is not an ideal user experience especially for people with visual impairment. To improve the user experience, this paper proposes a novel algorithm that can automatically detect the location of a credit card number based on the fact that a group of sixteen digits has a fixed aspect ratio. The proposed algorithm first performs morphological operations to obtain multiple candidates of the credit card number with >4:1 aspect ratio, then recognizes the card number by testing each candidate via OCR and BIN matching techniques. Implemented with OpenCV and Firebase ML, the proposed scheme achieves 77.75% accuracy in the credit card number recognition task.

• The Journal of the Korea Contents Association
• /
• v.13 no.10
• /
• pp.19-26
• /
• 2013

In the Malaysian license plates, alphabets and numerals which are made by plastic, are adhered to a frame as embossing style and occasionally characters in horizontal, vertical directions are aligned with narrow space. So the extraction of character stroke information can be hard in the vehicle images of low illumination intensity. In this paper, Malaysian license plate recognition algorithm for low illumination intensity image is proposed. DoG filtering based character stroke generation method is introduced to derive exact connected components of strokes in the vehicle image of low illumination intensity. After localization of plate by connected component analysis, characters are segmented and recognized. Algorithm is experimented for the 6,046 vehicle images captured in Kuala Lumpur by IR camera without using any special light during day and night. The experimental results show that recognition accuracy of plates is 96.1%.