• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.1-8
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• 2002

Due to the fast development in computer application technologies, a video is now being more widely used than ever in many areas. The current information analyzing systems are basically built to process text-based data. Thus, it has little bits Problems when it needs to correctly represent the ambiguity of a video, when it has to process a large amount of comments. or when it lacks the objectivity that the jobs require. We would like to purpose the method that is capable of analyze a large amount of video efficiently. To extract the color, we translate the color from RGB to HSI and use the information that matches with the representative colors. To extract the shape information, we use improved moment invariants(IMI) so that we can solve many problems of histogram intersection.

• Journal of Korean Medical classics
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• v.34 no.4
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• pp.95-117
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• 2021

Objectives : Based on the entries on each medicinal's 'specification' and the phrase '所以然' in the Shennong Bencao Baizhonglu, this paper aims to examine Xu Dachun's understanding of herbal medicinals. Methods : One hundred medicinals from the text were sorted into eight categories: Qi, flavor, color, form, quality, nature and characteristic, time of growth, and producer, then examined. Results : 1. Medicinals related to Qi were aromatic and pungent and warm. 2. Medicinals related to flavor were explained according to the Five Flavors' nature in terms of the thing and its functions theory. 3. Medicinals related to color were explained in relation to the Five Colors, whose interpretations were rather erratic. 4. Medicinals related to form were explained as it being possible to figure out their effects based on each medicinal's shape and form. 5. Medicinals related to quality were those that were used to manage dryness and dampness using their dry or wet qualities. 6. Medicinals related to nature and characteristics needed to be understood in their originality to grasp their unique abilities. 7. Both producer and time of growth were closely related to each medicinal's efficacy. Conclusions : Understanding of the application of medicinals in the Shennong Bencaojing through continuous examination into each medicinal's 'specification' and 'its reasoning', together with their clinical application, will allow for learners to build an understanding of herbal medicinals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5763-5768
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• 2014

Maintaining a voice color is important when compounding both the normal voice because an emotion is not expressed with various emotional voices in a single synthesizer. When a synthesizer is developed using the recording data of too many expressed emotions, a voice color cannot be maintained and each synthetic speech is can be heard like the voice of different speakers. In this paper, the speech data was recorded and the change in the voice color was analyzed to develop an emotional HMM-based speech synthesizer. To realize a speech synthesizer, a voice was recorded, and a database was built. On the other hand, a recording process is very important, particularly when realizing an emotional speech synthesizer. Monitoring is needed because it is quite difficult to define emotion and maintain a particular level. In the realized synthesizer, a normal voice and three emotional voice (Happiness, Sadness, Anger) were used, and each emotional voice consists of two levels, High/Low. To analyze the voice color of the normal voice and emotional voice, the average spectrum, which was the measured accumulated spectrum of vowels, was used and the F1(first formant) calculated by the average spectrum was compared. The voice similarity of Low-level emotional data was higher than High-level emotional data, and the proposed method can be monitored by the change in voice similarity.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.123-134
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• 2020

With the recent development of 3D printers, there is a growing need to make them similar to real products. As a result, FDM full-color 3D printers have been developed and actively distributed, but GUI design has fallen short of that, causing confusion among users. Accordingly, this study conducted a literature survey, and through a case study, the current status of FDM full-color 3D printers was identified and the components of GUI design were analyzed based on prior research. The draft checklist was drawn up according to the components of the derived GUI design, and 24 items were deleted through the three Delphi surveys and the validity of the remaining 26 items was verified. As a result, the layout should consist of intuitive screen configuration and menus with high frequency of use, and the text should be intuitive and clearly communicated. In addition, the icon should be placed in a visible position and used in real life to image it. Finally, we could see that the color should be used to give feedback to the user using the highlight color and not overlap the output.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.49-59
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• 2009

Contents-based image retrieval methods are in general more objective and effective than text-based image retrieval algorithms since they use color and texture in search and avoid annotating all images for search. SIM(Self-organizing Image browsing Map) is one of contents-based image retrieval algorithms that uses only browsable mapping results obtained by SOM(Self Organizing Map). However, SOM may have an error in selecting the right BMU in learning phase if there are similar nodes with distorted color information due to the intensity of light or objects' movements in the image. Such images may be mapped into other grouping nodes thus the search rate could be decreased by this effect. In this paper, we propose an improved SIM that uses HSV color model in extracting image features with color quantization. In order to avoid unexpected learning error mentioned above, our SOM consists of two layers. In learning phase, SOM layer 1 has the color feature vectors as input. After learning SOM Layer 1, the connection weights of this layer become the input of SOM Layer 2 and re-learning occurs. With this multi-layered SOM learning, we can avoid mapping errors among similar nodes of different color information. In search, we put the query image vector into SOM layer 2 and select nodes of SOM layer 1 that connects with chosen BMU of SOM layer 2. In experiment, we verified that the proposed SIM was better than the original SIM and avoid mapping error effectively.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.450-460
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• 2005

Today, multimedia information is used on the internet and various social areas by rapid development of computer and communication technology. Therefor, the usage is growing dramatically. Multimedia information analysis system is basically based on text. So, there are many difficult problems like expressing ambiguity of multimedia information, excessive burden of works in appending notes and a lack of objectivity. In this study, we suggest a method which uses color and shape information of multimedia image partitions efficiently analyze a large amount of multimedia information. Partitions use field growth and union method. To extract color information, we use distinctive information which matches with a representative color from converting process from RGB(Red Green Blue) to HSI(Hue Saturation Intensity). Also, we use IMI(Improved Moment Invariants) which target to only outline pixels of an object and execute computing as shape information.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.507-513
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• 2018

Steganography is a technique that uses hidden messages to prevent anyone apart from knowing the existence of a secret message, except the sender and trusted recipients. This paper applies 24 bit color image as cover medium. And a 24-bit color image has three components corresponding to red, green and blue. This paper proposes an image steganography method that uses Triple-A algorithm to hide the secret (Hangul) message by arbitrarily selecting the number of LSB bits and the color channel to be used. This paper divides the secret character into the chosung, jungsung and jongsung, and applies crossover, encryption and arbitrary insertion positions to enhance robustness and confidentiality. Experimental results of the proposed method show that insertion capacity and correlation are excellent and acceptable image quality level. Also, considering the image quality, it was confirmed that the size of LSB should be less than 2.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.657-660
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• 2006

자연영상이나 스팸메일 영상으로부터 텍스트 영역을 추출하고 추출한 텍스트 영역에 이진화를 수행하고 나면 가로 방향이나 세로획 방향으로 놓여 있는 "1" 그리고 "ㅡ" 에 해당하는 한글의 종성부분이 이미지 내의 잡영을 지울 때 종종 지워지는 결과를 볼 수 있다. 이렇게 지워진 획 부분을 되살리기 위한 방법으로 텍스트 Hinting 알고리즘을 제안한다. 텍스트 Hinting 알고리즘은 이진화된 이미지의 텍스트 픽셀 위치와 동일한 좌표에 해당하는 원본 이미지의 RGB 값을 추출하여 추출된 텍스트 후보 영역의 색상을 알아낸다. 추출된 텍스트 색상 레이어 이미지와 이진화된 이미지에 OR연산을 수행하게 되면 지워진 획 부분을 복원할 수 있다. 제안한 방법을 스팸 이미지에 적용한 결과 텍스트 추출결과를 획기적으로 개선할 수 있음을 보였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5023-5028
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• 2010

In this paper, an image based LED design simulator is proposed to reduce LED design cost mostly contingent on a design expert. Current techniques about LED design schemes have mostly treated text-based LED simulators. The proposed method is to provide novel and easy simulator for LED designers. At first, image filters including histogram equalization, bicubic interpolation. and scaling are employed. Color mapping and special effects are added as well. Experimental results classified into several categories along with running times are shown to validate the proposed methods.

• Journal of Korea Multimedia Society
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• v.23 no.3
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• pp.508-515
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• 2020

For the success of mobile messenger emoticons, it is important to grab the attentions of users or consumers and identify the influence factors that can satisfy empathy and emotional satisfaction. In this study, first, subjective evaluation of the mobile messenger emoticons of the subjects was examined through a preliminary survey, and then Eye-tracking experiments were conducted to identify the influence factors that can attention of the subject's eyes in the emoticons. The study revealed that emoticons such as Ompangi and Onaeui yeosin highlighting their characters mainly focus on characters(face). Secondly, Gyuiyomjueui and Handprinting emoticons focused on Text. Contrary to earlier studies, such results showed that people are presumed to focus on characteristic elements such as size, form, color and location of visually exposed elements rather than primarily having a keen interest in characters.