• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2060-2071
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• 1999

The complicate software failure system is defined to the superposition of the points of failure from several component point process. Because the likelihood function is difficulty in computing, we consider Gibbs sampler using iteration sampling based method. For each observed failure epoch, we applied to latent variables that indicates with component of the superposition mode. For model selection, we explored the posterior Bayesian criterion and the sum of relative errors for the comparison simple pattern with superposition model. A numerical example with NHPP simulated data set applies the thinning method proposed by Lewis and Shedler[25] is given, we consider Goel-Okumoto model and Weibull model with GOS, inference of parameter is studied. Using the posterior Bayesian criterion and the sum of relative errors, as we would expect, the superposition model is best on model under diffuse priors.

• Smart Media Journal
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• v.3 no.4
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• pp.22-27
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• 2014

Three-dimensional image reconstruction allows us to represent real objects in the virtual space and observe the objects at arbitrary view points. This technique can be used in various application areas such as education, culture, and art. In this paper, we propose an implementation method of the high-quality three-dimensional object using multiple Kinect cameras released from Microsoft. First, We acquire color and depth images from triple Kinect cameras; Kinect cameras are placed in front of the object as a convergence form. Because original depth image includes some areas where have no depth values, we employ joint bilateral filter to refine these areas. In addition to the depth image problem, there is an color mismatch problem in color images of multiview system. In order to solve it, we exploit an color correction method using three-dimensional geometry. Through the experimental results, we found that three-dimensional object which is used the proposed method is more naturally represented than the original three-dimensional object in terms of the color and shape.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.47-53
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• 2011

As global warming and has caused the number of abnormal changes, much damage has occurred recently in Korean Peninsula from natural disaster. To prevent and cope with these annually repeated natural hazards, scientific analysis are needed in Disaster Management, including systematic management. In this study, As part of scientific disaster prevention measures, digital image based hazard map for solution to overcome the existing hazard map with schematic representation was constructed. which was combined digital image, digital map and hazard information, and than hazard information system was developed using the hazard map. The hazard information map and hazard information system are able to provide great service to the public and to support quick decision making for hazard management and analysis of natural hazard damage.

• Korean Security Journal
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• no.37
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• pp.295-323
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• 2013

This study's purpose examine the "Four Social Evils" policy during about seven months and presents new policy and policy directions with a critical eyes. The present Government focus 'The safety of the people' in 2013. But, most of all, "Four Social Evils" selected the top priority project of the government that will be worked on for the next five years. "Four Social Evils" means Sexual Violence, School Violence, Domestic Violence and Unsanitary Food as crimes affecting the daily lives of the people. To date, we were having a number of discussions with various people. But currently, there is a lack of research on constructive criticism about "Four Social Evils" policy. Therefore, It is the best thing to get interested in "Four Social Evils" policy and evaluate the effectiveness at this time. But, This study is not simply criticizing the "Four Social Evils" policy. Ultimately, through this constructive criticism, this study is trying to encourage "Four Social Evils" policy in the right direction and serve as the groundwork for reinforcement strengthen of the social safety net.

• Korean Journal of Applied Biomechanics
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• v.19 no.4
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• pp.627-636
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• 2009

This study aims to provide a scientific basis for the abstract beauty of dance by analyzing the effects of controlling the breath during the walking motion of Korean dance. The objective of the study is to determine the significance of breathing during Korean dance, as it is externally expressed and technologically segmented, let alone the internal beauty of Korean dance. The results of this study show that the position of the body center and ASIS during the walking motion that uses breath was lower than that of the walking motion that does not use the breath. In addition, in each replacement of the knee joint and ankle joint, a narrow angle, in which bending is used a lot, appeared during the walking motion that uses the breath, but not during the walking gesture that does not use the breath. This occurred during the bending motion. In the first peak point, the vertical ground reaction force during the walking motion that uses the breath was higher than that during the walking motion that does not use the breath.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.182-193
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• 2012

Recent growth of ring-tone and ring-back-tone download market as the derived market of cellular phone yields the new trend in music consumption from listening to display. This means that consumer purchase the ring-tone and RBT not for his appreciation but for counterpart's consumption, in a word, conspicuous consumption. Study aims at questions on whether cellular phone user can perceive the ring-tone and RBT's brand personality and how they express their self-image via ring-tone and RBT. Survey was administered for 196 college students who is dominant purchase group of market segment. Hypotheses are such as : congruity of self image and brand personality of ring-tone and RBT. Through the T-test, findings said that user's extrovert self image are not led to ring-tone's extrovert brand personality and user's introvert self image are not led to introvert ring-tone's brand personality of ringtone. same result was applicable to RTB. Cellular phone user's purchase behavior are different from those of product and service.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.455-460
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• 2017

In popular music, soul music is becoming an evaluation criteria in Korea. Blues, a songer music that was singing and lamenting Filed Holler and their suffering in a vast land of black blood and sweat, which became the mother of music to understand our enthusiastic soul music. And the only spiritual haven, church music and important musicians. Especially in the 1960s Americans social background is the most important factor to understand the soul music of birth time. Our country, which has undergone tremendous colonial rule amid numerous foreign invasions, is naturally ashamed of its aging skies. For Black-Americans soul music is an expression and anger expression anger. However, many musicians, who are flooded with floods in our country, are destined to experience the essence of life. 'Soul music' the noble choice of choice music, is known to be the ultimate reminder of the misery of the eternal disaster. As soul music has become a powerful it is understandable that it has become an exaggeration.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.116-123
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• 2009

Feature point matching, which is finding the corresponding points from two images with different viewpoint, has been used in various vision-based applications and the demand for the real-time operation of the matching is increasing these days. This paper presents a real-time feature point matching method by using a local descriptor derived by Zernike moments. From an input image, we find a set of feature points by using an existing fast corner detection algorithm and compute a local descriptor derived by Zernike moments at each feature point. The local descriptor based on Zernike moments represents the properties of the image patch around the feature points efficiently and is robust to rotation and illumination changes. In order to speed up the computation of Zernike moments, we compute the Zernike basis functions with fixed size in advance and store them in lookup tables. The initial matching results are acquired by an Approximate Nearest Neighbor (ANN) method and false matchings are eliminated by a RANSAC algorithm. In the experiments we confirmed that the proposed method matches the feature points in images with various transformations in real-time and outperforms existing methods.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.717-724
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• 2001

Multimedia presentations are a class of documents that are used for lectures, tour guides, business presentations, and in many other applications. These presentations comprise multimedia objects with a temporal structure that specifies when objects are to be delivered, for what duration, and what the temporal relationships among objects are. In this paper, we propose temporal extensions to XHTML that allow seamless integration of synchronized multimedia into web documents. The extensions are based on three concepts：(i) XHTML＋TIME (in short, Xtime) links for temporal composition, (ii) common time bases for close synchronization between media objects, and (iii) dynamic layout for specifying regions of a screen for presentation. Also, we will show a flexible execution architecture to support these concepts in a multimedia presentation.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.113-123
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• 2003

Many researches on the application of neural networks for making financial index prediction have proven their advantages over statistical and other methods. In this paper, a neural network model is proposed for the Buying, Holding or Selling timing prediction in stocks by the price index of stocks by inputting the closing price and volume of dealing in stocks and the technical indexes(MACD, Psychological Line). This model has an equalized multi-layer arithmetic function as well as the time series prediction function of backpropagation neural network algorithm. In the case that the numbers of learning data are unbalanced among the three categories (Buying, Holding or Selling), the neural network with conventional method has the problem that it tries to improve only the prediction accuracy of the most dominant category. Therefore, this paper, after describing the structure, working and learning algorithm of the neural network, shows the equalized multi-layer arithmetic method controlling the numbers of learning data by using information about the importance of each category for improving prediction accuracy of other category. Experimental results show that the financial index prediction using the equalized multi-layer arithmetic neural network has much higher correctness rate than the other conventional models.