• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.1112-1119
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• 1999

Digital watermarking is to embed imperceptible mark into image, video, audio and text data to prevent the illegal copy of multimedia data, arbitrary modification, and also illegal sales of the copes without agreement of copyright ownership. The DCT(discrete Cosine Transforms) transforms of original image is conducted in this research and these DCT coefficients are expanded by Fourier series expansion algorithm. In order to embed the imperceptible and robust watermark, the Fourier coefficients(lower frequency coefficients) can be calculated using sine and cosine function which have a complete orthogonal basis function, and the watermark is embedded into these coefficients, In the experiment, we can show robustness with respect to image distortion such as JPEG compression, bluring and adding uniform noise. The correlation coefficient are in the range from 0.5467 to 0.9507.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.5
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• pp.1158-1164
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• 2014

The propensity analysis for oral exam candidates of sixth class deck officer's license was conducted to serve as a basic data for improving the ability of seamanship and a stable workforce supply using a questionnaire. A general information of them was identified as 64.4% of offshore fishing, 56.8% of over 50, 56.6% of less middle school education, 55.6% of under 100 gross tonnage, 81.2% of over 10 years experience, 85.6% of deck department, which means they are from mainly less than 100 gross tonnage of offshore fishing vessel, less educated, and long term experienced in the deck job. The reason why they took the test was mainly due to their will (71.1%). And 52.7% of them took the test for the first time, 52.7% of answers responded they are lack of knowledge about a written exam and text of KIMFT in preparation data for an oral exam 23.3%. Given the fact that 83.3% of respondents experienced marine accidents on board, the need for marine casualty reduction education was verified. Even after obtaining a license, they showed a higher preference of boarding that they embarked before the examination. Also, 61.7% of them have a plan for long-term boarding at least three years, thus leading to supply of workforce in coastal and offshore areas.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.5
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• pp.1151-1157
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• 2014

The propensity analysis for oral exam candidates of sixth class engineer officer's license was conducted to serve as a basic data for improving the ability of seamanship and a stable workforce supply using a questionnaire. A general information of them was identified as 62.1% of offshore fishing, 59.3% of over 50, 59.4% of less middle school education, 52.4% of under 100 gross tonnage, 75.2% of under 1,500kW engine output, 72.5% of over 10 years experience, 72.4% of engine department, which means they are from mainly less than 100 gross tonnage of offshore fishing vessel, less educated, and long term experienced in the engine job. The reason why they took the test was mainly due to their will (51.7%). And 45.5% of them took the test for the first time, 45.5% of answers responded they are lack of knowledge about a written exam and text of KIMFT in preparation data for an oral exam 35.9%. Given the fact that 74.5% of respondents experienced marine accidents with engine damage on board, the need for marine casualty reduction education was verified. Even after obtaining a license, they showed a higher preference of boarding that they embarked before the examination. Also, 61.4% of them have a plan for long-term boarding at least three years, thus leading to supply of workforce in coastal and offshore areas.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.267-272
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• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• The Journal of Korean Academic Society of Nursing Education
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• v.9 no.2
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• pp.234-243
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• 2003

The researcher has studied the types of accidents and injuries that most often occur to infants, toddlers and preschool children. Using this knowledge, a first aid program was developed for mothers. This researcher used a Quasi experimental study which consisted of a nonequivalent control group pretest - posttest design for injury first-aid knowle. The experimental group consisted of 32 mothers, and the control group consisted of 29. The education program consisted of the types of injury, the structure and function of skin, the methods of obsevation, first-aid awareness, and the standard of professional support in case of contusion, abrasion, laceration, fracture and burn. The education program was developed and based on 'the systemetic design of instruction' by Dick & Carey(1996) and utilized multimedia text book, pictures, examples, practice and discussions to increase understanding and effectiveness of learning. The data for this study was collected from September to early November, 2001. There were two fomative evauations, pretest and posttest with an intervention of education program. The analysis of the collected data was analyzed by descriptive analysis, ANOVA, t-test and paired t-test using the SPSS 10.0 program. The results as follows; 1. The experimental group, who was given an education program before the test, got higher marks on the injury first-aid knowledge than the control group. There was a significant difference in knowledge between experimental group and control group(t=6.578, p=.000). 2. The experimental group got higher marks on the action evaluation than the control group. There were significant differences in the certainity of action (t=8.546, p=.000) and the accuracy of action (t=7.654, p=.000) between experimental group and control group. This study examined how a first aid education program increased effectiveness in the knowledge and action of injury first-aid.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.689-697
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• 2010

In this study, we propose a new procedure for improving the character recognition of text area extracted from video images. The recognition of strings extracted from video, which are mixed with Hangul, English, numbers and special characters, etc., is more difficult than general character recognition because of various fonts and size, graphic forms of letters tilted image, disconnection, miscellaneous videos, tangency, characters of low definition, etc. We improved the recognition rate by taking commonly used letters and leaving out the barely used ones instead of recognizing all of the letters, and then using SVM and RDA character recognition methods. Our numerical results indicate that combining SVM and RDA performs better than other methods.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.579-586
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• 2001

Digital watermarking is to embed imperceptible mark into image, video, audio, and text data to prevent the illegal copy of multimedia data. arbitrary modification, and also illegal sales of the copies without agreement of copyright ownership. In this paper, we study for the embedding and extraction of watermark key using wavelet in the luminance signal in order to implement the system to protect the copyright for image MPEG. First, the original image is analyzed into frequency domain by discrete wavelet transform. The RSA(Rivest, Shamir, Aldeman) public key of the coded target is RUN parameter of VLD(variable length coding). Because the high relationship among the adjacent RUN parameters effect the whole image, it prevents non-authorizer not to possess private key from behaving illegally. The Results show that the proposed method provides better moving picture and the distortion more key of insert than direct coded method on low-frequency domain based DCT.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.169-178
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• 2017

In various research fields, it is important to identify the trends and meaningful patterns in large volumes of text data. We examined the research trends and patterns in global journal articles related to aviation and airlines from 1997 to 2016 using keyword network analysis. Keyword network models were constructed, and centrality (degree and betweenness) analysis was performed using 25,959 articles from the Scopus database. The results suggested that the recent research trends in aviation and airlines could be quantitatively described through keyword network analysis. The engineering and social science fields were the most relevant fields with keywords related to aviation and airlines. In addition, it was shown that betweenness centrality increased with the degree centrality of keywords. The results of this study could be applied to establish policies and suggest further research topics in the field of aviation and airlines based on empirical data.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.1-7
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• 2018

Feature selection, one of data preprocessing techniques, is one of major research areas in many applications dealing with large dataset. It has been used in pattern recognition, machine learning and data mining, and is now widely applied in a variety of fields such as text classification, image retrieval, intrusion detection and genome analysis. The proposed method is based on a genetic algorithm which is one of meta-heuristic algorithms. There are two methods of finding feature subsets: a filter method and a wrapper method. In this study, we use a wrapper method, which evaluates feature subsets using a real classifier, to find an optimal feature subset. The training dataset used in the experiment has a severe class imbalance and it is difficult to improve classification performance for rare classes. After preprocessing the training dataset with SMOTE, we select features and evaluate them with various machine learning algorithms.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.135-141
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• 2013

In this paper, we installed three high brightness red, green, and blue LED in one socket and made one pixel unit. And we also developed the full-color display board module and control unit which can express various images such as text, graphics, video image with the combination of pixel units and a number of modules. LED display driver module have a driver circuit within the combination of the RGB pixel dot on unit area. These modules of the existing form can be high priced because of implementation a fixed resolution in specific space and installation space. To overcome these shortcomings, we developed a LED driver and LED pixel modules free in array at random pitch intervals. Display board module of this paper enabled to display smoothly video image which have many data processing quantity through dragging data speed up 36 frames per second. Also there are an effect which is provided more clear image because of improving the flickering of the existing display board.