• Korean Journal of Remote Sensing
• /
• v.28 no.1
• /
• pp.79-93
• /
• 2012

This paper suggests a system architecture for the advanced meteorological satellite image processing system that is developing by NMSC(National Meteorological Satellite Center). The meteorology satellite image processing system has basically the image acquisition, the image processing, the data management, and the data dissemination functionalities. However, the existing system has some problems with respect to system integration as well as maintenance to accommodate new satellites and/or the new image processing systems for them which will be developed in the near future. To cope with these problems we propose a new system architecture for the advanced meteorology satellite image processing system. To do this we select as the architectural drivers the quality attributes such as modifiability, inter-operability, extendability, reusability, and platform independency and design the architecture to achieve such quality attributes. We expect that the new approach will solve current issues such as system integration, system dependency, or data management problems and will provide easy ways to incorporate new systems and to maintain them.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.258-261
• /
• 2003

Demolition is mort dangerous than construction and causes a lot of harmful environmental factors. But temporary fences used on demolition sites cannot play out their roles of blocking harmful environmental factors or securing stability and work space. They only block the view from the outside. This study begins with the possibility that the temporary fence can be installed prior to demolition. As a preceding step. we performed research on the actual conditions of using it. We then realized that it can be installed according to our research plan. First, we focused on actualizing the integration of temporary fences for demolition and construction. Here are the results of this study. First, we need to grasp the limiting factors of integration. Second, we ought to revise the Korean Architecture Standard Specification. Third, we should prepare against damage and transformation of fences. Finally, we can expect to reduce harmful environmental factors, cut down expenses, improve the working environment and raise the image of demolition by the integration of these fences.

• The Korean Journal of Applied Statistics
• /
• v.32 no.1
• /
• pp.41-68
• /
• 2019

Multi-view learning considers data from various viewpoints as well as attempts to integrate various information from data. Multi-view learning has been studied recently and has showed superior performance to a model learned from only a single view. With the introduction of deep learning techniques to a multi-view learning approach, it has showed good results in various fields such as image, text, voice, and video. In this study, we introduce how multi-view learning methods solve various problems faced in human behavior recognition, medical areas, information retrieval and facial expression recognition. In addition, we review data integration principles of multi-view learning methods by classifying traditional multi-view learning methods into data integration, classifiers integration, and representation integration. Finally, we examine how CNN, RNN, RBM, Autoencoder, and GAN, which are commonly used among various deep learning methods, are applied to multi-view learning algorithms. We categorize CNN and RNN-based learning methods as supervised learning, and RBM, Autoencoder, and GAN-based learning methods as unsupervised learning.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.05a
• /
• pp.466-469
• /
• 2002

Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

• Fashion & Textile Research Journal
• /
• v.13 no.2
• /
• pp.155-161
• /
• 2011

This thesis, concerning Femme Fatale Images Costume Form in paintings viewed from DeLong's Theory, analyzed frequency and traits on the basis of DeLong's Form Observation Theory and drew out the result as followings. First, Costume Form was mostly open, whole, planer integration, rounded, and indeterminate. The styles were similar each other. Second, surface structure was expressed by line & shape, color, texture, and pattern of which color had the highest priority. Next, line & shape and texture had the priority in order. They were expressed through intereaction. Third, the traits of Costume Form were a similar color harmony or large light and darkness contrast+soft quality+interaction by ambiguous line & shape. So, Femme Fatale Image in paintings was expressed by soft and pure images and erotic images.

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.9
• /
• pp.303-320
• /
• 1998

Today the corporate environment is changing rapidly in a standpoint of politics, economics, society and technology environment. So corporates need a management strategy in another point of view. As a new menagement strategy it is introduced corporate culture. The corporate culture should be built with the core of CI, in order to be adapted to peripheral circumstances of the company. The purpose of this thesis is to contribute to manage the systematic management of corporate image by inquiring into corporate identity. Through the research of the deluxe hotels in seoul it is tried to find hotel CI-concept. As a result, the knowledge level of hotel managers is a little low and considered simply as the modification of basic elements and development of a visual idenification system. The emphasis must be on the coordination and integration to create a desired coroporate image and to communicate this image created for the target audience in a systematic and unified mannr.

• Journal of Information Processing Systems
• /
• v.13 no.2
• /
• pp.204-214
• /
• 2017

Artificial intelligence, especially deep learning technology, is penetrating the majority of research areas, including the field of bioinformatics. However, deep learning has some limitations, such as the complexity of parameter tuning, architecture design, and so forth. In this study, we analyze these issues and challenges in regards to its applications in bioinformatics, particularly genomic analysis and medical image analytics, and give the corresponding approaches and solutions. Although these solutions are mostly rule of thumb, they can effectively handle the issues connected to training learning machines. As such, we explore the tendency of deep learning technology by examining several directions, such as automation, scalability, individuality, mobility, integration, and intelligence warehousing.

• Journal of Biomedical Engineering Research
• /
• v.15 no.1
• /
• pp.57-62
• /
• 1994

The demand of image compression is increasing now for the integration of medical images into the hospital information system. Even though the quantitative distortion can be measured from the difference between original and reconstructed images, it doesn't include the nonlinear characteristics of human visual system. In this study, we have evaluated the nonlinear characteristics of human visual system and applied them to the compression of medical images. The distortion measures which reflect the characteristics of human visual system has been considered. This image compression procedure consists of coding scheme using JND (Just Noticeable Difference) curve, polynomial approximation and BTC (Block Truncation Coding). Results show that this method can be applied to CT images, scanned film images and other kinds of medical images with the compression ratio of 5-10:1 without any noticeable distortion.

• Journal of Korea Multimedia Society
• /
• v.14 no.5
• /
• pp.642-649
• /
• 2011

Among the various aspects of offline handwritten character patterns, it is the great variety of writing styles and variations that renders the task of computer recognition very hard. The immense variety of character shape has been recognized but rarely studied during the past decades of numerous research efforts. This paper tries to address the problem of measuring image distortions and handwritten character patterns with respect to reference patterns. This work is based on mass-spring mesh model with the introduction of simulated electric charge as a source of the external force that can aid decoding the shape distortion. Given an input image and a reference image, the charge is defined, and then the relaxation procedure goes to find the optimum configuration of shape or patterns of least potential. The relaxation process is based on the fourth order Runge-Kutta algorithm, well-known for numerical integration. The proposed method of modeling is rigorous mathematically and leads to interesting results. Additional feature of the method is the global affine transformation that helps analyzing distortion and finding a good match by removing a large scale linear disparity between two images.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.3
• /
• pp.88-93
• /
• 2023

In the era of continuous progress, concerts have emerged as a significant medium for music performance, providing audiences with both musical enjoyment and a means of relaxation. The study examines pivotal moments and milestones in concert history, highlighting the emergence of novel elements such as visual presentations, integration of multimedia, virtual reality experiences, and metaverse concerts. By scrutinizing the repercussions of these changes on the concert experience, the study sheds light on the transformative influence of technology on concert formats, audience engagement, and artistic expression. Moreover, it delves into the challenges and opportunities arising from technological advancements in the contemporary concert landscape. The insights gained from this research contribute to a comprehensive comprehension of the dynamic interplay between technology and concert forms, thereby laying the foundation for future scholarly discourse and advancements within the field.