• International Journal of Costume and Fashion
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• v.8 no.2
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• pp.20-31
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• 2008

A person's external image is a non-verbal form of communication, through which the person's tastes, mode of thought, preferences, and overall personality is expressed. The dominant factor in building an external image is clothing, since clothing-images provide the most information about a person in the least amount of time. This study aims to investigate the relationship between the clothing- images of women politicians and the improvement of women's social status in Korea, by focusing on changes in clothing-image of female politicians at public functions throughout modern Korean history, and inquiring into the method of classification concerning aforementioned images. The time period of this study starts from 1945, when the first female political party was established, to the 2008 presidential elections. The methodology of this study consists of literature study of related books, theses and journals, which was jointly conducted with empirical study consisting of the research of news photographs of major daily newspapers. This study confirmed the clothing images of women politicians since liberation till 2000's reflects the directions of women's movement and their status in return. It is especially meaningful that the sudden increase of romantic and feminine images among the women politician in Korea is the reflection of the ideas of postmodern feminism which emphasize the acknowledgement of womanhood and the enjoyment of being a woman as its core.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.193-200
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• 2005

Living room in modern housing accepts social behavior of modem family realized diversified life and the core of the housing space. So living room in the housing space is composed of many various components, handled very carefully in a color plan. This study is purposed on proposing basic data for color planing of the living room in an apartment, especially a sold housing accommodating the social change. As a result of understanding the color image of a apartment living room for the last 5 years, phenomenon of using natural color which makes people feel comfortable is common with durability. Also the image of space composition which usually called in modern, classic and dandy is appeared with various coloration easily in a medium-large or large living room, So these show the various demand of high-level or medium-level inhabitants. For an actual proof, basic data for research about the color image of a apartment living room in korea have to be accumulated constantly. After that the research which can take concrete shape and visualize the change of the color image of korean apartment living room will revitalize.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1126-1134
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• 2017

A variety of medical service applications in the field of the Internet of Things (IoT) are being studied. Segmentation is important to identify meaningful regions in images and is also required in 3D images. Previous methods have been based on gray value and shape. The Visible Korean dataset consists of serially sectioned high-resolution color images. Unlike computed tomography or magnetic resonance images, automatic segmentation of color images is difficult because detecting an object's boundaries in colored images is very difficult compared to grayscale images. Therefore, skilled anatomists usually segment color images manually or semi-automatically. We present an out-of-core 3D segmentation method for large-scale image datasets. Our method can segment significant regions in the coronal and sagittal planes, as well as the axial plane, to produce a 3D image. Our system verifies the result interactively with a multi-planar reconstruction view and a 3D view. Our system can be used to train unskilled anatomists and medical students. It is also possible for a skilled anatomist to segment an image remotely since it is difficult to transfer such large amounts of data.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.556-561
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• 2006

It is very important to classify the DNA Chip image pattern in order to acquire useful information about genetic disease of people. In this paper, we developed the novel pattern classification method of DNA Chip image using MLP based back-propagation and Self organizing Map learning algorithm. And then we compared and analyzed these classified pattern results. Also we carried out experiment in the MV2440 board using CPU Cote for S3C2440(ARM 920T) and PC environment, and displayed its results in order to give the genetic information to user mote easily in various environment.

• Journal of Convergence for Information Technology
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• v.7 no.2
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• pp.77-82
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• 2017

In this paper, a new security algorithm to recognize the type of the vehicle with the vehicle image as a input image is suggested. The vehicle recognition security algorithm is composed of five core parts, such as the input image, background removal, edge areas extraction, pre-processing(binarization), and the vehicle recognition. Therefore, the final recognition rate of the security algorithm for vehicle type recognition can be affected by the function and efficiency of each step. After inputting image into a gray scale image and removing backgrounds, the binarization is performed by extracting only the edge region. After the pre-treatment process for making outlines clear, the type of vehicles is categorized into large vehicles, passenger cars and motorcycles through the ratio of height and width of the vehicle.

• Asia Marketing Journal
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• v.14 no.3
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• pp.153-167
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• 2012

KB Kookmin Card has separated as an independent corporation from KB Kookmin Bank Credit Card Business Group on March, 2011. Ever since, KB Kookmin Card worked to build its own brand identity. The strategic preparation and conscientious implementations made KB Kookmin Card position in consumer's mind with a strong and unique brand image. Its new brand image was rooted in the inherited strengths of reliable and sincere image. However, it faced the challenge to compete in credit card industry in which most competitors had an advanced and sophisticated image. The strengths of KB Kookmin Card were also at the same time their limitations. KB Kookmin Card took a strategy that strengthened the strengths and improved the weaknesses. It focused on the core competence of being a people's sincere life supporter that helps people make savings from everyday events to make a good sum rather than being a lump sum benefit. The brand introduction strategy was implemented in 2011. The implementation focused on the activities that made internal as well as external customers be aware of the brand. Communication programs using a variety of media were executed to attain this goal. In 2012, second phase communication programs were introduced to elaborate the newly established brand image. It introduced many extended products as well as accessory programs which targeted the segments. Also, various CSR activities in many social domains helped consumers and the public to consider KB Kookmin Card an authentic, caring, trustworthy, and consistently-developing supporter in their everyday lives.

• Applied Microscopy
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• v.30 no.2
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• pp.185-191
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• 2000

An unusually large protein complex was found in the cytosol of the hyperthmophilic archaeon. Thermococcus profundus. The purified protein was shown to be a homomultimer of 93 kDa subunit (P93 complex). The complex is extremely heat stable. During 12 hrs incubation with SDS (final concentration 1%) at $85^{\circ}C$, no changed structure could be observed. Electron image analysis of negatively stained showed that the complex has a single, stable characteristic view and a well-preserved core with threefold rotational symmetry. The periphery of the assembly is composed of a nebulose, possibly flexible, component. Based on the projected structure suggest the P93 complex from T. profundus is composed 24 homomultimer.

• Journal of the Korean Society of Costume
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• v.58 no.6
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• pp.110-123
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• 2008

The objectives of this study are to define the fundamental notions of collaboration in design field. The results of this study are summarized as follows: Firstly, collaboration means a cooperative work which are cooperatively done by collabarator and collaboratee on the equal status within a certain period of time, based on core ability of each of them. This cooperative work is presented with a visual image based on the identity of participants, and it creates an added value. Collaboration is different from convergence and hybrid in the methodological aspects and from brand alliance and strategic alliance in the aspects of the subject of project. Secondly, collaboration has been developing through step of using the specific ability, step of sharing each core abilities, and step of fusing their identities, in a view of the sphere of cooperative work and the intimate relations in reciprocity. Thirdly, according to strategic purpose, collaboration can be classified into value ascending collaboration, image changing collaboration, business-field extension collaboration, and event collaboration. Fourthly, production methods of collaboration consist of limited edition method, premium line method, common line method, producing a collaborative product, and so on. Fifthly, differentiation effect, image upgrade effect, production of higher value-added products, sale increase, diversification of business, sharing the targets, and promotion effect are achievable through collaboration. Sixthly, to make progress in collaboration successfully, the compatibility of combination between collaborator and collaboratee, the superiority of collaboratee, definitude of collaboration, the fit method of collaboration, the novelty of collatoration, possibility of issuing of collaboration, and perfection of collabo-product must be the points which deserve our attention.

• Current Optics and Photonics
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• v.4 no.4
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• pp.286-292
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• 2020

Imaging through multicore fiber (MCF) is of great significance in the biomedical domain. Although several techniques have been developed to image an object from a signal passing through MCF, these methods are strongly dependent on the surroundings, such as vibration and the temperature fluctuation of the fiber's environment. In this paper, we apply a new, strong technique called deep learning to reconstruct the phase image through a MCF in which each core is multimode. To evaluate the network, we employ the binary cross-entropy as the loss function of a convolutional neural network (CNN) with improved U-net structure. The high-quality reconstruction of input objects upon spatial light modulation (SLM) can be realized from the speckle patterns of intensity that contain the information about the objects. Moreover, we study the effect of MCF length on image recovery. It is shown that the shorter the fiber, the better the imaging quality. Based on our findings, MCF may have applications in fields such as endoscopic imaging and optical communication.

• Journal of Korea Multimedia Society
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• v.1 no.2
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• pp.173-182
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• 1998

As a result of remarkable developments in multimedia technology, the image database system that can efficiently retrieve image data becomes a core technology of information-oriented society. In this paper, we proposed the 2-phase Image Retrieval System considering both color and shape information as the method of image features extraction for content-based image data retrieval. At the first level, to get color information, with improving and extending the indexing method using color distribution characteristic suggested by Striker et al., i.e. the indexing method considering local color distribution characteristics, the system roughly classifies images through the improved method. At the second level, the system finally retrieves the most similar image from the image queried by the user using the shape information about the image groups classified at the first level. To extract the shape information, we use the Improved Moment Invariants (IMI) that manipulates only the pixels on the edges of objects in order to overcome two main problems of the existing Moment Invariant methods large amount of processing and rotation sensitiveness which can frequently be seen in the Directive Histogram Intersection technique suggested by Jain et al. Experiments have been conducted on 300 automobile images. And we could obtain the more improved results through the comparative test with other methods.