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Abstract

Since Germany was unified in 1990, Korea became the only country that has the division in the world. This division has various bad effects on Korea's status with not reliable security, forfeited national impression, loss of tourism income and so on. Kim Jung-Il national defense committee chairman is the current dictator of North Korea which is a socialist state. Even if he is getting old, his successor is not proclaimed. In this situation, his sudden aggravation of health can cause seriously bad effects on diplomatic relations especially with South Korea. Therefore, the health information about Kim Jung-Il national defense committee chairman will be very important information. In order to deal this problem, we propose the method of extracting the Kim Jung-Il national defense committee chairman's health from his pictures which are recently open to the public by employing the diagnosis Ocular Inspection used in Oriental medicine. n order to get an accurate result, revising the Kim Jung-Il national defense committee chairman's pictures, which are not taken in a controled equal situation, is necessary. Therefore we employed the color analysis process with color revising and color differential comparing process without color revising. With these processes, we can make diagnosis of his diabetes and complications.

In this paper, voice analysis is performed to propose a quantitative indication of withdrawal symptoms of smartphone addiction, applied to 20 males in their 20s. For this, their smartphones were confiscated during a certain period, and we collected samples of voice signals from them before and after that period. The pitch variation and intensity magnitude of the voice samples were used in the experiment to investigate their anxiety resulted from withdrawal symptoms. The experimental results showed an increase in pitch variation from 90% of samples, and a decrease in intensity magnitude from 95% of them. Finally, we carried out a study to find a statistical significance from the extracted experimental results through statistical analysis.