• Smart Media Journal
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• v.5 no.4
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• pp.26-40
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• 2016

Recent researches have been conducted for a user of the position acquisition and analysis since the mobile devices was developed. Trajectory data mining of location analysis method for a user is used to extract the meaningful information based on the user's trajectory. It should be preceded by a process of extracting Stay Point. In order to carry out trajectory data mining by analyzing the user of the GPS Trajectory. The conventional Stay Point extraction algorithm is low confidence because the user to arbitrarily set the threshold values. It does not distinguish between staying indoors and outdoors. Thus, the ambiguity of the position is increased. In this paper we proposed extraction method of Stay Point using a statistical analysis. We proposed algorithm improves position accuracy by extracting the points that are staying indoors and outdoors using Gaussian distribution. And we also improve reliability of the algorithm since that does not use arbitrarily set threshold.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.859-869
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• 2011

Interest has increased in academic research regarding key factors that drive box-office success as well as the ability to predict the box-office success of a movie from a commercial perspective. This study analyzed the relationship between key success factors of a movie and box office records based on movies released in 2010 in Korea. At the pre-production investment decision-making stage, the movie genre, motion picture rating, director power, and actor power were statistically significant. At the stage of distribution decision-making process after movie production, among other factors, the influence of star actors, number of screens, power of distributors, and social media turned out to be statistically significant. We verified movie success factors through the application of a Multinomial Logit Model that used the concept of choice probabilities. The Multinomial Logit Model resulted in a higher level of accuracy in predicting box-office success compared to the Artificial Neural Network and Discriminant Analysis.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.109-118
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• 2016

Big data, thanks to the development of data sciences, has been key words for economic development and governmental policies. This study reviewed how big data has been used with entertainment contents since the uses of big data in the fields have been more popular and the cases making successful business have been reported. To do ends, the changes in production, distribution, and consumption of entertainment contents have been characterized and prime cases have been introduced. Furthermore, Korean production companies of entertainment contents, Bloter and NEOTOUCHPOINT, were selected to investigate how big data has been utilized. It was found that the companies used big data to analyze consumers' behaviors and gain insights of content creation, such as identifying specific elements of enjoyments and conditions to share the contents with others. The domestic entertainment companies are preparing a full-scale of use of big data but, in order to take advantage of big data, collaboration between developers and experts in the field and specific goal-setting and model building are recommended.

• Journal of Powder Materials
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• v.14 no.5
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• pp.281-286
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• 2007

Ordered $L1_0$ to FePt nanoparticles are strong candidates for high density magnetic data storage media because the $L1_0$ phase FePt has a very high magnetocrystalline anisotropy $(K_u{\sim}6.6-10{\times}10^7erg/cm^3)$, high coercivity and chemical stability. In this study, the ordered $L1_0$ FePt nanoparticles were successfully fabricated by chemical vapor condensation process without a post-annealing process which causes severe particle growth and agglomeration. The $Fe_{50}Pt_{50}$ nanopowder was obtained when the mixing ratio of Fe(acac) and Pt(arac) was 2.5 : 1. And the synthesized FePt nanoparticles were very fine and spherical shape with a narrow size distribution. The average particle size of the powder tended to increase from 5 nm to 10 nm with increasing reaction temperature from $800^{\circ}C$ to $1000^{\circ}C$. Characterisitcs of FePt nanopowder were investigated in terms of process parameters and microstructures.

• Smart Media Journal
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• v.1 no.2
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• pp.12-22
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• 2012

Today we are witnessing an increasingly widespread use of cameras in our lives for video surveillance, robot vision, and mobile phones. This has led to a renewed interest in computer vision in general and an on-going boom in human activity recognition in particular. Although not particularly fancy per se, human gait is inarguably the most common and frequent action. Early on this decade there has been a passing interest in human gait recognition, but it soon declined before we came up with a systematic analysis and understanding of walking motion. This paper presents a set of DBN-based models for the analysis of human gait in sequence of increasing complexity and modeling power. The discussion centers around HMM-based statistical methods capable of modeling the variability and incompleteness of input video signals. Finally a novel idea of extending the discrete state Markov chain with a continuous density function is proposed in order to better characterize the gait direction. The proposed modeling framework allows us to recognize pedestrian up to 91.67% and to elegantly decode out two independent gait components of direction and posture through a sequence of experiments.

• Korean Journal of Optics and Photonics
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• v.25 no.1
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• pp.21-28
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• 2014

In this paper a Super Multi-view display method using a pinhole array with full parallax was proposed. The proposed method was simulated and its parameters analyzed. Also, the distribution and irradiance of light through each pinhole on the retina receiver, according to the change of crystalline lens focal length, were found by simulation. As a result, an image free of blurring was obtained while the crystalline lens focused on the depth plane of the three-dimensional image created by the imaging lens.

• Nuclear Engineering and Technology
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• v.43 no.4
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• pp.399-404
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• 2011

A LEGO-type multi-purpose dosimetry phantom was developed for intensity-modulated radiation therapy (IMRT), which requires various types of challenging dosimetry. Polystyrene, polyethylene, polytetrafluoroethylene (PTFE), and polyurethane foam (PU-F) were selected to represent muscle, fat, bone, and lung tissue, respectively, after considering the relevant mass densities, elemental compositions, effective atomic numbers, and photon interaction coefficients. The phantom, which is composed of numerous small pieces that are similar to LEGO blocks, provides dose and dose distribution measurements in homogeneous and heterogeneous media. The phantom includes dosimeter holders for several types of dosimeters that are frequently used in IMRT dosimetry. An ion chamber and a diode detector were used to test dosimetry in heterogeneous media under radiation fields of various sizes. The data that were measured using these dosimeters were in disagreement when the field sizes were smaller than $1.5{\times}1.5\;cm^2$ for polystyrene and PTFE, or smaller than $3{\times}3\;cm^2$ for an air cavity. The discrepancy was as large as 41% for the air cavity when the field size was $0.7{\times}0.7\;cm^2$, highlighting one of the challenges of IMRT small field dosimetry. The LEGO-type phantom is also very useful for two-dimensional dosimetry analysis, which elucidates the electronic dis-equilibrium phenomena on or near the heterogeneity boundaries.

• Smart Media Journal
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• v.3 no.1
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• pp.9-15
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• 2014

In these days, along with the extreme popularity of online social network services, it becomes an important problem understanding the role of social network in the research of message dissemination. Past studies of message dissemination over online social network services mostly consider the coverage of message dissemination and the methods to maximize it. But, these works lack of the consideration of the impact of multi channel social network, which has multiple communication channel with distinct properties of message transfer and various users with distinct channel preferences. In this paper, the new message dissemination model over multi-modal multi-channel social network, the Delay Weighted Independent Cascade Model, is proposed. The proposed model considers various channels including online social network service, email, SMS messaging, phone and mouth-to-mouth and their distinct message transfer properties. In order to consider the various user properties, the different value of probability of forwarding a message and the different preference of communication channel is considered. Moreover, the proposed model considers the distribution of user location and allows to analyze the properties of message dissemination under various scenarios. Based on the proposed model, a message dissemination simulator is generated and the message disseminations on various scenarios are analyzed.

• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.90-102
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• 2004

The purpose of the study was to analyze the current status of hypertension related information on the mass-media. Data were collected on the hypertension related reports in three major broadcasting centers, KBS1$\cdot$2, MBC, SBS, for 2 years, 1999-2001. Sample of the study was 134 reports. The results were as follows: 1. There were differences in frequencies by broadcasting center and programs. KBS and 9PM News were highest in proportions, $62.6\%\;and\;37.3\%$ respectively. 2. In regard to reporting time, $90\%$ were reported in the afternoon. and $62.5\%$ of those reports were in 9 PM, followed by 8PM. & 7PM. and 6AM. 3. In regard to area of the report, $35.8\%$ belonged to social section, followed by $26.1\%$ science. $15.7\%$ international. and $11.2\%$ life and health. 4. In terms of monthly distribution, December, November, and August had higher proportion of reports than other months as well as fall and winter. 5. There were higher proportion of reports containing 'treatment and management' with 'complication management' targeted to 'patients' than 'prevention' targeted to 'general population' in terms of content of the report. In summary, MBC and SBS were more focused on 'treatment and management' with KBS more focused on 'prevention'. There were more 'prevention' related reports in summer, and 'complication management' reports in the morning with 'treatment and management' reports in the afternoon.

• Korean Institute of Interior Design Journal
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• v.15 no.2 s.55
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• pp.150-157
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• 2006

Founded on a close relationship between exhibition scenarios and media, this study was conducted 1) to establish exhibition arrangement types by using three analytical indicators, such as arrangement types of exhibition, groupings of similar exhibition media, and exhibition density; and 2) to demonstrate the importance of considering the characteristics of exhibition arrangement types by using viewing behavior codes as a major analytical indicator. The following three types were investigated in this research: First, the Independent type (Type C) was found to be strongly influenced by architectural and spatial forms, especially by low exhibition density and high visual information. Also, compared with the Wall Dominant type, low number of viewing behavior codes and distribution was found even though there were high correlations among viewing behavior codes. This is assumed to be due to low exhibition density. Second, the Wall Dominant type (Type A) was found to be not influenced by architectural and spatial forms. This is because space is planned and restructured centering on the wall type showcases. At the planning stage of exhibition, it is easy to divide or combine space according to the contents and structure of exhibition scenarios. Compared with the Independent type, low correlations were found among viewing behavior codes. This is due to low participation or manipulation exhibitions. However, this implies that more active viewing behaviors can be induced if appropriate exhibition techniques and arrangement methods are used for each exhibition content. Third, the Independent Dominant type (Type B) was found to confuse visitors in selecting routes by displaying too many exhibits at a limited space in a disorderly fashion. It failed to attract visitors to the main exhibition area, where a big space is formed in the center. Visitors were found to view exhibits that are arranged near the major traffic line.