• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.8
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• pp.1454-1463
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• 2008

Blind source separation by independent component analysis (ICA) has applied in signal processing, telecommunication, and image processing to recover unknown original source signals from mutually independent observation signals. Neural networks are learned to estimate the original signals by unsupervised learning algorithm. Because the outputs of the neural networks which yield original source signals are mutually independent, then mutual information is zero. This is equivalent to minimizing the Kullback-Leibler convergence between probability density function and the corresponding factorial distribution of the output in neural networks. In this paper, we present a learning algorithm using information theory and higher order statistics to solve problem of blind source separation. For computer simulation two deterministic signals and a Gaussian noise are used as original source signals. We also test the proposed algorithm by applying it to several discrete images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.5087-5102
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• 2015

Rapid popularization of smart cell phone equipped with camera has led to a number of new legal and criminal problems related to multimedia such as digital image, which makes cell phone source identification an important branch of digital image forensics. This paper proposes a classifier combination based source identification strategy for cell phone images. To identify the outlier cell phone models of the training sets in multi-class classifier, a one-class classifier is orderly used in the framework. Feature vectors including color filter array (CFA) interpolation coefficients estimation and multi-feature fusion is employed to verify the effectiveness of the classifier combination strategy. Experimental results demonstrate that for different feature sets, our method presents high accuracy of source identification both for the cell phone in the training sets and the outliers.

• The Journal of Korea Robotics Society
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• v.9 no.4
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• pp.206-215
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• 2014

Acoustic signal is crucial for the autonomous navigation of underwater vehicles. For this purpose, this paper presents a method of acoustic source localization. The proposed method is based on the probabilistic estimation of time delay of acoustic signals received by two hydrophones. Using Bayesian update process, the proposed method can provide reliable estimation of direction angle of the acoustic source. The acquired direction information is used to estimate the location of the acoustic source. By accumulating direction information from various vehicle locations, the acoustic source localization is achieved using extended Kalman filter. The proposed method can provide a reliable estimation of the direction and location of the acoustic source, even under for a noisy acoustic signal. Experimental results demonstrate the performance of the proposed acoustic source localization method in a real sea environment.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.491-505
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• 2013

This study applies framing theory to the presentation of trend or styling information in fashion journalism. A qualitative content analysis was conducted with three lifestyle magazines. The findings include attribute, attitude, and source-based frames. The attribute-based frame was used to increase the versatility and feasibility of design by emphasizing particular attributes of clothes. To increase versatility, an item could be presented either as a basic or trendy design. To increase feasibility, fashion information could be customized by price points (i.e., affordable frame) or body type (i.e., flattering frame). The attitude-based frame includes prescriptive and rule-breaking frames. The source-based frame offers a source of trend or styling information. Expert, celebrity, and consumer frame emerged under the source-based frame. Findings reveal how fashion and style information is defined and crafted.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.135-138
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• 2023

In this paper, we study real-time error in the context of monitoring a binary information source through a delay system. To derive the average real-time error, we model the delay system as a discrete time Geo/D/1/1 queueing model. Using a discrete time three-dimensional Markov chain with finite state space, we analyze the queueing model. We also perform some numerical analysis on various system parameters: state transition probabilities of binary information source; transmission times; and transmission frequencies. When the state changes of the information source are positively correlated and negatively correlated, we investigate the relationship between transmission time and transmission frequency.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.59-68
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• 2006

Recently, introduction of Open Source Software into informatization of the government and public sector has been actively examined, however, Open Source Software is being rarely adopted due to the lack of verified and reliable data with regard to the criteria, process, performance and stability for introduction of Open Source Software. In this paper, the process, method and plan for performance verification for introduction of Open Source Software into mission critical systems of the government and public sector are suggested in order to solve the aforesaid problem Specially, a test system to judge whether or not to adopt Open Source Software in school affairs system of the NEIS(National Education Information System) of the Korean government was set up, and the method and process of performance verification by stage in addition to feasibility study were applied to the test system for verification. Based on the result of performance evaluation in the test system, the application of Linux to school affairs system of the NEIS is being successfully practiced. It is expected that this study will be a guideline to technical review process and performance verification method as necessary to introduce Open Source Software into the mission critical systems of government and public agencies.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• v.3 no.3
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• pp.151-158
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• 1999

Biogenic source emissions refer to naturally occuring emissions from vegetation, microbial activities in soil, lightening, and so on. Vegetation is especially known to emit a considerable amout of volatile organic compounds into the atmosphere. Therefore, biogenic source emissions are an important input to photochemical air quality models. since most biogenic source emissions are calculated at the county-level, they should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation for biogenic source emissions has been to use a "spatial surrogate indicator" such as a county area. In order to examine the applicability of such approximations, this study developed more detailed surrogate indicators to improve the spatial allocation method for biogenic source emissions. Due to the spatially variable nature of biogenic source emissions, Geographic Information Systems(GIS) were introduced as new tools to develop more detailed spatial surrogate indicators. Use of these newly developed spatial surrogate indicators for biogenic source emission allocation provides a better resolution than the standard spatial surrogate indicator.indicator.

• Journal of the Korean Society of Food Culture
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• v.17 no.5
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• pp.605-618
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• 2002

The purposes of this research were to; (a) identify useful information source; (b) assess the usefulness of the Internet as an information source; and (c) assess the degree of Internet utilization for purchasing process in food service industry. The results were as follows; 1. 'personal experience and colleague recommendation' was perceived as the most useful information source, whereas the most frequently used source was 'Internet web site' for real purchasing practice. 2. the most frequently used purchasing activity through Internet was 'online ordering', followed by 'gathering product/component information', however e-marketplace or Internet bidding were less performed by Internet. 3. acquisition of real time information, rapidity, accuracy, and increasing effectiveness of purchasing process were reported the advantages of Internet utilization. 4. respondents somewhat or strongly agreed with the importance of Internet in terms of present and future purchasing management. The results of the research suggest that Internet should be able to improve purchasing process and enhance buyer-supplier relationship directly or indirectly, therefore food service industry should consider making attempt to new purchasing systems through Internet for strategic sourcing and effective procurement management.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.2
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• pp.1-18
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• 2020

The purpose of this study is to investigate the consumers' characteristics in terms of information source usage and purchase channel choice focusing on apparel purchasers in the multichannel retailing environment. The specific research objects are as follows: analyzing consumer's information source usage and purchase channel choice when buying their own clothing, examining the differences of consumers' characteristics according to the groups who are classified by their information source usages, and examining the differences of consumers' characteristics according to the purchase channel choice. The data was collected from adults over 20 years of age who had bought their own clothing within the last year. The questionnaire was carried out during September 2019, using a professional internet research panel, and 490 useful data sets were analyzed by utilizing descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and a Duncan-test using SPSS 21.0. The findings showed that there were also significant differences of consumers' characteristics which included age, gender, monthly clothing expenditure, purchase price, shopping value and perceived risk according to the consumer's information source usage and their purchase channel choice.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.4
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• pp.709-722
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• 2022

The recent "Log4j Security Vulnerability Incident" has occurred, and the information system that uses the open source "Log4J" has been exposed to vulnerabilities. The incident brought great vulnerabilities in the information systems of South Korea's major government agencies or companies and global information systems, causing problems with open source vulnerabilities. Despite the advantages of many advantages, the current development paradigm, which is developed using open source, can easily spread software security vulnerabilities, ensuring open source safety and reliability. You need to check the open source. However, open source vulnerability scan tools have various languages and functions. Therefore, the existing software evaluation criteria are ambiguous and it is difficult to evaluate advantages and weaknesses, so this paper has developed a new evaluation criteria for the vulnerability analysis tools of open source