• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.157-162
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• 2009

As the improvement of computer performance and the development of IT technology have influence upon publishing industry, the e-Book system, a type of electronic resources, has come out. This is a method to use both texts and 2D image illustrations. Nowadays, there are more and more users who want high quality contents and a variety of contents such as the illustrated fish book using the 3D system. This article adds 3D animation objects to the current e-Book system and designs and realizes the 3D fish simulation system to which e-Book technology is applied so as to improve the comprehension of texts and readability of detailed information and increase readers' immersion as well.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.71-80
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• 2022

In the past, fish diseases were bacterial in aqua farms, but in recent years, the frequency of fish diseases has increased as they have become viral and mixed. Viral diseases in an enclosed space called a aqua farm have a high spread rate, so it is very likely to lead to mass death. Fast identification of fish diseases is important to prevent group death. However, diagnosis of fish diseases requires a high level of expertise and it is difficult to visually check the condition of fish every time. In order to prevent the spread of the disease, an automatic identification system of diseases or fish is needed. In this paper, in order to improve the performance of the disease identification system of Paralichthys olivaceus based on deep learning, the existing pre-processing method is compared and tested. Target diseases were selected from three most frequent diseases such as Scutica, Vibrio, and Lymphocystis in Paralichthys olivaceus. The RGB, HLS, HSV, LAB, LUV, XYZ, and YCRCV were used as image pre-processing methods. As a result of the experiment, HLS was able to get the best results than using general RGB. It is expected that the fish disease identification system can be advanced by improving the recognition rate of diseases in a simple way.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.183-186
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• 2006

NPC(Non playable Character)모델은 온라인 게임뿐만 아니라 가상공간 시스템 구축 시 빠질 수 없는 중요한 요소이다. 현재 가장 널리 사용되는 인공지능 처리방식의 하나인 FSM(Finite State Machine)은 NPC의 행동양식을 표현하기 위해 유한한 개수의 상태를 이용하는 알고리즘이다. 인공지능이 적용된 NPC 모델 설계시 정확한 명세는 구현 단계에서 발생되는 자원의 손실을 막아주고 요구명세에 따른 검증을 가능하게 한다. 본 논문에서는 해저가상공간 구축 시 발생되는 어류 객체의 행동패턴을 분석하여 속성을 정의하였으며, 환경변화에 따른 행동 특성의 상호관계를 설정하여 정형화하였다. 정의된 속성을 가진 NPC 모델을 FSM 알고리즘을 적용해 설계하고 구현한다. 설계된 NPC모델은 CTL기반의 모델체커인 SMV(Symbolic Model Verification)를 통해 검증함으로써 설계에 대한 타상성을 입증하였다.

• Journal of KIISE:Databases
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• v.30 no.4
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• pp.362-371
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• 2003

In this paper, we propose an optimal interest point extraction method to support shape-base image classification and indexing for image database by applying a dynamic threshold that reflects the characteristics of the shape contour. The threshold is determined dynamically by comparing the contour length ratio of the original shape and the approximated polygon while the algorithm is running. Because our algorithm considers the characteristics of the shape contour, it can minimize the number of interest points. For n points of the contour, the proposed algorithm has O(nlogn) computational cost on an average to extract the number of m optimal interest points. Experiments were performed on the 70 synthetic shapes of 7 different contour types and 1100 fish shapes. It shows the average optimization ratio up to 0.92 and has 14% improvement, compared to the fixed threshold method. The shape features extracted from our proposed method can be used for shape-based image classification, indexing, and similarity search via normalization.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.26-34
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• 2008

Due to spread of movies or online games which are applied with computer animation techniques, we can easily see scenes where numerous characters appear. In the case of large-scale crowd animation, if one were to increase reality of the scene, features of system would be lowered, and if one were to increase functioning of system, reality of the scene would be lowered. In realizing large-scale crowd animation with seafloor environment as background, the paper analyzed and applied elements that affect behavioral types of fishes; and by using concept of crowd, the paper enabled each group or object to control their behavioral type; by comparing and contrasting real-time calculation method as calculation method for animation and hybrid calculation method which is mixed calculation method, the paper seeks to find a method that increases functioning of the system while also expresses natural scenes.