• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1167-1187
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• 2020

With the development of medical imaging technology, image registration has been widely used in the field of disease diagnosis. The registration between different modal images of brain magnetic resonance (MR) is particularly important for the diagnosis of brain diseases. However, previous registration methods don't take advantage of the prior knowledge of bilateral brain symmetry. Moreover, the difference in gray scale information of different modal images increases the difficulty of registration. In this paper, a multimodal medical image registration method based on image segmentation and symmetric self-similarity is proposed. This method uses modal independent self-similar information and modal consistency information to register images. More particularly, we propose two novel symmetric self-similarity constraint operators to constrain the segmented medical images and convert each modal medical image into a unified modal for multimodal image registration. The experimental results show that the proposed method can effectively reduce the error rate of brain MR multimodal medical image registration with rotation and translation transformations (average 0.43mm and 0.60mm) respectively, whose accuracy is better compared to state-of-the-art image registration methods.

• 한국컴퓨터산업학회논문지
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• 제3권7호
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• pp.901-914
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• 2002

본 논문에서는 비디오에서 입력된 영상으로부터 내용기반 검색을 위해 자동으로 자막을 추출하여 특징 추출을 기반의 단층 연결 신경망 인식기(FE-MCBP)에 의해 자막 문자를 인식하여 영상 자막의 내용을 검출하는 방법을 제시하였다. 비디오에서 자막 추출은 먼저, 비디오에서 일정한 시간 간격으로 획득한 프레임 중에서 히스토그램 분석을 통하여 키 프레임을 찾는 과정을 수행하며, 그 다음에 각각의 키 프레임에 대하여 칼라 세그먼테이션 후 라인 검사 방법 통하여 자막 영역을 추출하도록 하였다. 마지막으로 추출된 자막영역에서 개별문자를 분리하였다. 본 연구에서는 칼라 히스토그램을 분석 후 지역 최대값을 이용하여 세그먼테이션 후 라인 검사를 수행함으로써 처리 속도와 자막영역 검출의 정확도를 개선하였다. 비디오에서 자막 추출은 비디오 정보를 멀티미디어 데이터베이스화하는 초기 단계로 추출된 자막은 바로 문자 인식기의 입력이 된다. 또한 인식된 자막정보는 데이터베이스로 구축되며 내용기반 검색 기법에 의해 검색되도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4644-4661
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• 2015

Wireless sensor networks are often organized in the form of clusters leading to the new framework of WSN called cluster or hierarchical WSN where each cluster head is responsible for its own cluster and its members. These hierarchical WSN are prone to various routing layer attacks such as Black hole, Gray hole, Sybil, Wormhole, Flooding etc. These routing layer attacks try to spoof, falsify or drop the packets during the packet routing process. They may even flood the network with unwanted data packets. If one cluster head is captured and made malicious, the entire cluster member nodes beneath the cluster get affected. On the other hand if the cluster member nodes are malicious, due to the broadcast wireless communication between all the source nodes it can disrupt the entire cluster functions. Thereby a scheme which can detect both the malicious cluster member and cluster head is the current need. Abnormal energy consumption of nodes is used to identify the malicious activity. To serve this purpose a learning based energy prediction algorithm is proposed. Thus a two level energy prediction based intrusion detection scheme to detect the malicious cluster head and cluster member is proposed and simulations were carried out using NS2-Mannasim framework. Simulation results achieved good detection ratio and less false positive.

• 천문학논총
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• 제30권2호
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• pp.125-127
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• 2015

We present preliminary results from OH ground state phase referenced observations carried out with the Multi Element Radio Linked Interferometer Network (MERLIN) and e-MERLIN towards the massive star forming region W49A. There are three active SFRs within this complex: W49 North (W49 N), W49 South (W49 S) and W49 South West (W49 SW). The first epoch of observations was obtained in 2005 with MERLIN while the second epoch was obtained in 2013 with the e-MERLIN upgraded system. In this paper, we present 1665 and 1720 MHz maser emission towards W49 S and W49 SW. Overall, both epochs show good agreement with the previous observations of Argon et al. (2000) carried out with the Very Large Array (VLA). The better sensitivity and wider velocity coverage of the MERLIN/e-MERLIN observations allowed us to discover a new 1720 MHz OH maser site in W49 S.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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• pp.313-316
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• 2002

이동 물체의 이동 거리 추적이나 대상 물체의 인식과 판별 물체의 특징 추출과 같은 응용분야에서 컴퓨터(Computer)와 비젼시스템(vision system)을 이용한 영상 데이터 처리 분야에 대한 이용률이 증가하면서, 그에 따른 연구가 활발히 진행되고 있다. 따라서 CCD 카메라(Charge-Couple Device Camera)로부터 입력된 그레이 레벨(Gray Level)의 영상을 입력받아 처리과정을 거쳐 위치정보를 전송하는 과정에서 정확한 정보를 얻기 위한 전처리 과정 방법을 제안하고, 실제 시스템에 적용한 결과를 제시한다. 여기서 영상의 전처리 과정 중 입력 영상에서 불필요한 부분을 제거하거나, 배경과 대상물의 분리, 내포된 잡음을 없애기 위하여 흔히 이진화 방법을 많이 사용한다 특히 이진화 과정에서 그레이 레벨의 입력영상에서 히스토그램(histogram) 정보를 이용하여 영상의 이진화시의 임계값을 찾는 것은 아주 중요한 요인이다 따라서 본 논문에서는 신경회로망을 이용하여 실시간으로 CCD 카메라를 통하여 입력되는 그레이 레벨의 입력 영상에 대하여 동적으로 적당한 임계값을 .찾는 방법을 제안하고자한다. 또한 제안한 신경회로망을 이용한 임계값 추출 알고리즘(algorithms)을 구현한 시스템(system)에 적용하여 일반적인 방법과 비교 검토하고 응용 가능성을 확인한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2036-2038
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• 2001

In this paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using vision system. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Also, we use R,G,B(red, green, blue) color image data and the gray image data to get the highly trust rate of feature point extraction. For this, we propose an algorithm to extract four feature points (eyebrow, eye, nose, mouth) from the face image acquired by the color CCD camera and find some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector(position and distance among the feature points). Finally, we show the practical application possibility of the proposed method.

• 한국해양공학회지
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• 제34권6호
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• pp.442-453
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• 2020

Underwater color images suffer from low visibility and color cast effects caused by light attenuation by water and floating particles. This study applied single image enhancement techniques to enhance the quality of underwater images and compared their performance with real underwater images taken in Korean waters. Dark channel prior (DCP), gradient transform, image fusion, and generative adversarial networks (GAN), such as cycleGAN and underwater GAN (UGAN), were considered for single image enhancement. Their performance was evaluated in terms of underwater image quality measure, underwater color image quality evaluation, gray-world assumption, and blur metric. The DCP saturated the underwater images to a specific greenish or bluish color tone and reduced the brightness of the background signal. The gradient transform method with two transmission maps were sensitive to the light source and highlighted the region exposed to light. Although image fusion enabled reasonable color correction, the object details were lost due to the last fusion step. CycleGAN corrected overall color tone relatively well but generated artifacts in the background. UGAN showed good visual quality and obtained the highest scores against all figures of merit (FOMs) by compensating for the colors and visibility compared to the other single enhancement methods.

• 무역학회지
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• 제44권6호
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• pp.327-344
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• 2019

This paper explores the hub-and-spoke system as the structure of the global economic network that presents obstacles for international cooperation. With its exclusive jurisdiction and control over the hub, a powerful state can employ coercive economic measures to compel and deter unwanted behavior of rogue states and even its allies. Against this backdrop, this study analyzes the cases of the US blocking access to its market by Chinese Huawei as well as the case of Japan in restricting trade for highly advanced goods to South Korea. This analysis reveals that both measures are forms of secondary boycotts, which affect not only the entities within their jurisdiction but also others located in third countries. In addition, this paper extends its findings to free trade agreements and offers implications on the outward processing scheme for the Gaeseong Industrial Complex in the KORUS FTA and the Korea-China FTA. These events result in a gray-risk for South Korea, a country that aims to resolve North Korea's denuclearization and inter-Korean economic cooperation.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.173-180
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• 2022

In the naked eye observation, the health of livestock can be controlled by the range of activity, temperature, pulse, cough, snot, eye excrement, ears and feces. In order to confirm the health of livestock, this paper uses calf face image data to classify the health status by image shape, color and texture. A series of images that have been processed in advance and can judge the health status of calves were used in the study, including 177 images of normal calves and 130 images of abnormal calves. We used GLCM calculation and Convolutional Neural Networks to extract 6 texture attributes of GLCM from the dataset containing the health status of calves by detecting the image of calves and learning the composite image of Convolutional Neural Networks. In the research, the classification ability of GLCM-CNN shows a classification rate of 91.3%, and the subsequent research will be further applied to the texture attributes of GLCM. It is hoped that this study can help us master the health status of livestock that cannot be observed by the naked eye.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 춘계종합학술대회
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• pp.435-438
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• 2003

본 연구 논문에서는 기존의 무선통신을 이용한 정보전송의 단점인 통신비의 계속적 지출을 보완하고 MS카드의 정보를 무선으로 전송을 할 수 있는 시스템을 구현하였다. 테마파크나 주유소등 소규모의 네트워크로 충분히 소화가 가능한 지역의 경우 그 보안성이 우수하며 통신비용이 추가적으로 들지 않는 블루투스 프로토콜을 이용하여 효율적인 매장 관리를 가능케 하는 역할이 가능하다. 기존의 무선통신의 경우 지역적 통신망 내에서의 통신에도 추가적인 통신비용이 필요로 하는 무선 랜 프로토콜을 기반으로 네트워크를 구성하거나 보안이 취약한 RF 프로토콜을 이용한 네트워크를 구성하고 있다. 본 논문에서는 추가적인 비용이 전혀 들지 않는 지역적 통신망에 적합하면서도 주파수 호핑 방식으로 인한 보안성이 매우 좋은 블루투스 프로토콜을 통해 정보를 전송할 수 있도록 설계 하였다. 단말기는 저 전력, 고 성능의 RISC프로세서와 큰 화면의 LCD를 제공함으로써 점원용 휴대용 기기에 적합하도록 설계하였다. 본 논문에서 구현한 블루투스를 이용한 마그네틱 카드 정보 전송 시스템은 기존의 매장관리용 무선통신 시스템을 대체하여 추가적인 통신비용이 없이 지역적 통신망을 구축하고, 정보전송의 보안성을 높이며, 단말기의 저 전력 설계로 보다 오랜 시간 효율적으로 매장을 관리 할 수 있을 것이다.