• Journal of Korea Multimedia Society
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• v.5 no.3
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• pp.263-271
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• 2002

In this paper, we propose a new smoothing method for removing moire patterns using analysis of halftone patterns interference. The proposed method can determine a strength of moire patterns by using gray values of pixels and the size of smoothing mask for moire region is adjusted adaptively according to the strength of moire patterns. Therefore it can remove moire patterns effectively and preserve meaningful high frequencies well, such as edges and textures. The proposed method only refer to predefined lookup table to determine the strength of moire patterns, so it is more efficient than a previous work based on FFT of subblock. It could be applied to field of various multimedia applications that deal with color prints.

• Journal of Korea Multimedia Society
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• v.17 no.6
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• pp.671-680
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• 2014

Recently, with the remarkable increase of social network services, it is necessary to extract interesting information from lots of data about various individual opinions and preferences on SNS(Social Network Service). The sentiment information can be applied to various fields of society such as politics, public opinions, economics, personal services and entertainments. To extract sentiment information, it is necessary to use processing techniques that store a large amount of SNS data, extract meaningful data from them, and search the sentiment information. This paper proposes an efficient method to extract sentiment information from various unstructured big data on social networks using HDFS(Hadoop Distributed File System) platform and MapReduce functions. In experiments, the proposed method collects and stacks data steadily as the number of data is increased. When the proposed functions are applied to sentiment analysis, the system keeps load balancing and the analysis results are very close to the results of manual work.

• Korean Institute of Interior Design Journal
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• v.18 no.2
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• pp.93-101
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• 2009

This study is including the independent project, "building children's library of the town" that is conducted by a local resident. The study object is the contents of the "design workshop for library planning" and the general process during one year since the opening. This study is delivering "information of children's library" through the work-shop and is conducting the role of a professional space planner by measuring the blueprint. Thus, the study could be conducted with synthetic viewpoint on each library. The followings are the results from the study. First, there were various space operations and a variety of programs in the case library that is independently managed. This is directing to "the constructive and active space usage" by the users and finally results in positive circulation. Secondly, there is a change through the process of execution and operation in the library construction plan. There are needs for the flexible space expansion and adjustment, modifiable furniture layout and design and various keeping areas because there is on-going tendency of corresponding space change. The third, the author could draw more practicable consideration points for space planning by looking at the trend of space change in Transactionist viewpoint. Thus, this study is very meaningful in terms of planning of sustainable public areas.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.127-138
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• 2007

Due to the development of internet technology and the steady increase of turnover at B2C market many companies put a lot of work into maintaining a good relationship with internet customers. Particularly, analyzing and understanding specific customer groups are essential for effective CRM and marketing strategy Thus, this paper proposes the method to define the customers of online bookstore into several meaningful groups. Five important factors and factor scores for each respondent are obtained by Factor Analysis. Six groups are classified by Cluster Analysis and Analysis of Variance(ANOVA) is used to verify the difference between each group.

• Journal of Powder Materials
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• v.2 no.2
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• pp.135-141
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• 1995

As the first step of study on fabrication of ceramic powders from phytoliths in rice, especially in rice husks, pulverization method of rice husks and the properties of milled rice husks were investigated. Impact methods, such as ball milling, were not meaningful for pulverizing elastic and thin fabric structure of rice husks. The most effective one was cutting method. In the present work, a rotating knife cutting method was applied to pulverizing rice husks. A 40-mesh screen was inserted under the rotating knives. The most portion of the milled powder was found in -50/+100 mesh section. Morphology of the milled rice husks revealed that the husks larger than 70 mesh were flake-like shape, at -70/+100 mesh section relatively equi-axed shape, at -170/+325 mesh section rod-like shape, and below 325 mesh section dust-like shape. Tap density of raw rice husks was about 0.1 $g/cm^3$, while those of milled rice husks were over $0.4 g/cm^3$. This meant that, for a given volume of reactor, raw material charge can be increased more that 4 times when using milled rice husks than unmilled one. True densities of unmilled and milled rice husks were higher than $1.4 g/cm^3$, and increased with decreasing milled sizes.

• ETRI Journal
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• v.35 no.6
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• pp.1105-1114
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• 2013

Owing to the large number of video programs available, a method for accessing preferred videos efficiently through personalized video summaries and clips is needed. The automatic recognition of user states when viewing a video is essential for extracting meaningful video segments. Although there have been many studies on emotion recognition using various user responses, electroencephalogram (EEG)-based research on preference recognition of videos is at its very early stages. This paper proposes classification models based on linear and nonlinear classifiers using EEG features of band power (BP) values and asymmetry scores for four preference classes. As a result, the quadratic-discriminant-analysis-based model using BP features achieves a classification accuracy of 97.39% (${\pm}0.73%$), and the models based on the other nonlinear classifiers using the BP features achieve an accuracy of over 96%, which is superior to that of previous work only for binary preference classification. The result proves that the proposed approach is sufficient for employment in personalized video segmentation with high accuracy and classification power.

• Carbon letters
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• v.28
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• pp.55-59
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• 2018

Transition-metal-embedded carbon nanotubes (CNTs) have been accepted as a novel type of sensing material due to the combined advantage of the transition metal, which possesses good catalytic behavior for gas interaction, and CNTs, with large effective surface areas that present good adsorption ability towards gas molecules. In this work, we simulate the adsorption of $O_2$ and $O_3$ onto Rh-doped CNT in an effort to understand the adsorbing behavior of such a surface. Results indicate that the proposed material presents good adsorbing ability and capacities for these two gases, especially $O_3$ molecules, as a result of the relatively large conductivity changes. The frontier molecular orbital theory reveals that the conductivity of Rh-CNT would undergo a decrease after the adsorption of two such oxidizing gases due to the lower electron activity and density of this media. Our calculations are meaningful as they can supply experimentalists with potential sensing material prospects with which to exploit chemical sensors.

• Journal of the Korean Home Economics Association
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• v.8 no.1
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• pp.159-180
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• 1970

Forty-five home account books were randomized by electing "prize for good home manager" in 1967 through all over the country in korea. With this sampling analyzed monthly home expenditure in different item by test of significance, and compared with model of home expenditure and this results. Hope this analysis will help to the house wife for better plan home expenditure and will develope in scientific way of life in home managing. 1. Significance test of home account books in their items and in months indicated that there were significant statistical differences in the total living expenses. In other words, they did not work out a budget, and their home account books were nothing but a record expenses. 2. There was a significant difference in the monthly expenditure for food caused by the preparation of cabbage pickle (kim Jang) in November. This payment in a lump to the cabbage pickle brought about unbalance to home economic. 3. Compared with others, in November and in December we could find a meaningful difference in the monthly expenditure for clothing. 4. It was noted that there were not such comparable significant differences in months as to be mentioned for housing light and heating, education, saving, transportation and communication culture, taxes.

• Genomics & Informatics
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• v.3 no.1
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• pp.30-34
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• 2005

Microarray technology makes it possible to measure the expressions of tens of thousands of genes simultaneously under various experimental conditions. Identifying differentially expressed genes in each single experimental condition is one of the most common first steps in microarray gene expression data analysis. Reasonable choices of thresholds for determining differentially expressed genes are used for the next-stap-analysis with suitable statistical significances. We present a supervised model for identifying DEGs using pathway information based on the global connectivity structure. Pathway information can be regarded as a collection of biological knowledge, thus we are trying to determine the optimal threshold so that the consequential connectivity structure can be the most compatible with the existing pathway information. The significant feature of our model is that it uses established knowledge as a reference to determine the direction of analyzing microarray dataset. In the most of previous work, only intrinsic information in the miroarray is used for the identifying DEGs. We hope that our proposed method could contribute to construct biologically meaningful structure from microarray datasets.

• Journal of the Korea Computer Graphics Society
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• v.8 no.1
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• pp.1-11
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• 2002

In order to widely use volume rendering technology in practical fields, a user should be able to control the classification parameter interactively and extract a meaningful information easily from the 3D data as fast as it can be. Previous work on an accelerating volume rendering reconstructs an isotropic volume from an anisotropic one and classifies in pre-processing time and then renders the classified volume rapidly in run time. But, this traditional step may result in long pre-processing time and no real-time feedback. In this paper, we present an efficient classification and rendering method that allows a user to set the opacity transfer function interactively at rendering time on a personal computer without special-purpose hardware.