• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.127-133
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• 2016

In the present knowledge and information society, every citizen can enjoy benefits of various advanced technologies such as information and communication technology(ICT) and smart technology. Nowadays everybody has to have some level of information literacy and application ability in order to enjoy benefits from various advanced technologies. In additions, knowledge and practice will about information and communication ethics are also required for all. Currently we need some kind of standards to evaluate and model everybody's information literacy and application capability. In this sense, information culture index has been developed to check information literacy and application capability of every citizen for various aspects of daily life. Information culture index consists of three standards, that is, application, awareness, and norm, respectively. Application standard indicates how information contents and skills are generalized for all. In other words, it is concerned with how every citizen can understand information literacy and use information skills in his or her daily life. Awareness standard is concerned with how well everyone can respect and trust others in the current information culture community. Norm standard is concerned with how everyone can use information communication services according to his or her desirable sense of information and communication ethics. The purpose of this paper is to analyze correlation between academic background and three standards of information culture index, that is, application, awareness, and norm. For this purpose, we use 2-year national survey works for information culture. After thorough statistical analysis, we can conclude that, awareness and norm standards do not show a meaningful correlation with academic background while application standard shows a meaningful correlation with academic background, It means that, the higher academic background one has, the higher application standard one can achieve. We expect that our correlation analysis results can be helpful to spread of information education and information culture in the future.

• Research in Mathematical Education
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• v.11 no.4
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• pp.235-246
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• 2007

The background and the existing problems in teaching of mathematics application were analyzed. Based on the mathematics knowledge which from the simple application, complicate application, and synthetically application to the mathematics modeling, the ability level test questions of mathematics application was worded out to help the teaching and learning in mathematics application.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.27 no.2
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• pp.109-122
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• 2023

In this study, we consider the application of the bifocusing method (BFM) for identifying the locations and shapes of small anomalies from scattering parameter data when the exact values of background permittivity and conductivity are unknown. To this end, an imaging function using numerical focusing operator is introduced and its mathematical structure is revealed by establishing a relationship with an infinite series of Bessel functions, antenna arrangements, and anomaly properties. On the basis of the revealed structure, we demonstrate why inaccurate location and size of anomalies were retrieved via the BFM. Some simulation results are illustrated using synthetic data polluted by random noise to support the theoretical result.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.111-114
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• 2003

In this paper, we propose a depth-based mesh modeling method to generate virtual environment. The proposed algorithm constructs mesh model from unorganized point cloud obtained from a multi-view camera. We separate the point cloud consisting objects from the background. Then, we apply triangulation to each object and background. Since the objects and the background are modeled independently, it is possible to construct effective virtual environment. The application of proposed modeling method is applicable to entertainment, such as movie and video game and effective virtual environment generation.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.54 no.8
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• pp.384-389
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• 2005

The Resonance Scattering Theory(RST) provides the physical explanation of the scattered field that appears in the vicinity of the resonance frequency. The theory suggests that the amplitude of each Partial-wave mode can be divided into two components : resonance and non-resonant background. The long-standing difficulty in the application of RST is that it always requires background components. We have applied the RST to the electromagnetic scattering problems by a penetrable spherical scatterer and a cavity. In this paper, we show some numerical results, and validate background coefficients.

• Journal of Korean Elementary Science Education
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• v.30 no.4
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• pp.601-614
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• 2011

The purpose of this study was to investigate significant differences between the application group and nonapplication group of integrated science education in the science class about elementary teachers' perceptions and PCK. The results are as follows. First, no significant differences were found about science teachers' fundamental background variables between the two groups. This results showed that the application of integrated science education didn't have relation with the fundamental background variables. It was found that the application group of integrated science education has a lower frequency than the application group, however, it has been analysed that the application group has been applied at the introduction stage for students' motivation, focused on biology as twice every month. Second, to apply a successful integrated education in the elementary science class, it has analysed that not only teachers should need to understand about application method and concept of integrated science education but also science textbook and teaching-learning material should be developed and diffused in the well-integrated science. Third, it was found that professionality of elementary teachers to teach the scientific content knowledge is not comparatively high and non-application group of integrated science education has a lower PCK than the application group. Therefore, it should be provided that not only training programmes to learn interdisciplinary knowledge related to science, can lead to more understanding about instructional design, teaching strategies and concept for integrated science education should be developed but also chances to participate in various training programmes should be provided to enhance elementary teachers' professionality for integrated science education.

• Proceedings of the Korean Fiber Society Conference
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• 1994.04a
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• pp.66-66
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• 1994

• Journal of Korea Multimedia Society
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• v.12 no.12
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• pp.1745-1754
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• 2009

PTZ (Pan-Tilt-Zoom) camera based surveillance systems are enlarging their field of application due to their wide observable area. We aimed to detect both static and moving objects in automated working space by using a PTZ camera. For object detection we used background difference method because of the high quality segmentation. However, the method has a problem called 'hole' that is caused by non-continuous surveillance of the PTZ camera and its own characteristics. Moreover, the occlusion which occurs when the moving object overlaps with the static object should be solved for robust object detection. In this paper, we suggest a region-based technique for updating background images thereby overcoming the hole and occlusion problem. Through experiments with real scenes, it was verified that meaningful static and/or moving objects were detected very well.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.420-432
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• 2014

In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

• Journal of the Korea Society of Computer and Information
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• v.10 no.2 s.34
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• pp.59-68
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• 2005

Object tracking in a real time image is one of interesting subjects in computer vision and many practical application fields Past couple of years. But sometimes existing systems cannot find object by recognize background noise as object. This paper proposes a method of object detection and tracking using adaptive background image in real time. To detect object which does not influenced by illumination and remove noise in background image, this system generates adaptive background image by real time background image updating. This system detects object using the difference between background image and input image from camera. After setting up MBR(minimum bounding rectangle) using the internal point of detected otject, the system tracks otiect through this MBR. In addition, this paper evaluates the test result about performance of proposed method as compared with existing tracking algorithm.