• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.127-132
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• 2022

As the IoT technology is more developed, it is more important for the accuracy of IoT data. Since the IoT data supports a different formats and protocols, it is often happened that the IoT system is failed or the incorrect data is generated with the unreliable IoT devices(sensor, actuator). Because the abnormality of IoT device or the user situation is not detected correctly, this problem makes the user to be unsatisfied with the IoT system. This study proposes the decision methodology of IoT data consistency whether the IoT data is generated in normal range or not by using the mathematical functions('gradient descent function' and 'linear regression function'). It may be concluded that the gradient function method is suitable for the IoT data which the 'increasing velocity' is related with the next generated pattern(eg. sensor devices), the linear regression function method is suitable for the IoT data which the 'the difference from linear regression function' is related with the next generated pattern in case the data has a linear pattern(eg. water meter, electric meter).

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.3
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• pp.97-105
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• 1999

본 논문에서는 기존의 깊이 복원 방법을 개선하기 위해서 유전 알고리즘을 이용한 새로운 스테레오 정합법을 제시하였고 다양한 영상에 적용하기 위해 영상의 영역 정보를 고려하였다. 유전 알고리즘은 자연선택과 개체군 유전학에 기반한 효율적인 탐색 기법인데, 이들의 염색체 교차와 돌연변이 같은 연산자를 정합 환경에 적합하도록 변형시켰다. 영상신호를 쉽게 다루기 위해서 2차원 염색체 구조를 사용하였으며, 스테레오 정합에 많이 사용되는 유사성과 연속성 제약 조건에 기반하여 적자를 선택하는 적응 함수를 정의하였다. 그리고 기존 유전 알고리즘의 수렴속도를 개선하기 위해서 무작위로 변이를 발생시키지 않고 휘도차를 이용하여 변이를 발생시키는 정보기반 변이 발생을 사용하였다. 실험을 통하여 본 방법은 이완처리를 포함한 정합법보다 계산 부하를 줄일 수 있었고 비교적 안정된 결과를 얻을 수 있었다.

• Proceedings of the Optical Society of Korea Conference
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• 2000.02a
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• pp.306-307
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• 2000

1962년 Armstrong 등에 의해 second harmonic generation(SHG) 의 이론이 완성된 후 SHG 효율을 높이기 위한 방법으로 비선형성이 큰 물질의 개발과 더불어 위상정합(phase matching)을 만족시키는 여러가지 방법이 연구 되었다. 특히 위상정합의 경우 지금까지는 복굴절을 이용하는 방법이 널리 사용되었으나 이 경우 입사광의 파장이 제한적이고, 많은 무기물 결정에서 비선형광학계수의 가장 큰 텐서 성분인 $d_{zzz}$를 사용할 수 없다는 단점을 가지고 있다. 반면 유사위상정합(Quasi-phase matching:QPM) 은 비선형광학계수( $d_{zzz}$)의 방향을 결맞음 길이(coherence length)마다 분극반전 시켜주어 2차 조화파의 진폭을 길이방향으로 계속 증가시키는 방법으로 구역반전된 길이를 조절하면 거의 모든 파장에 대해 비임계 위상정합( $d_{zzz}$ 사용)이 가능하고, 2차 조화파가 기본파의 전파경로에서 벗어나는 walk-off 현상이 없어 SHG 전환효율을 극대화할 수 있다. (중략). (중략)

• The Journal of Korean Institute of Communications and Information Sciences
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• v.14 no.6
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• pp.621-632
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• 1989

According to the conventional network evolving towards ISDN, various connection types may be existed in the networks and subscriber-network interfaces. For this reason it is necessary to study the signalling conversion algorithms and the implementation models. In this paper, after surveying the signalling conversion method between the ISDN subscriber and the conventional network, the signaling conversion algorithms are proposed. Based on this algorithms the matching system is designed and developed. Also the validity of this system and the utility of designed software and hardware functions are verified through experiments.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.568-569
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• 2005

한빛 자기거울 장치는 고온 플리즈마 물성을 연구하기 위한 장치로서 플러즈마 밀도 형성을 위한 slot 형 안테나 고주파 가열 시스템이 중앙 진공용기에 설치되어 있다. 본 연구에서는 이러한 고주파 전송선로, 임피던스 정합 network. 장치 임피던스를 포함하는 한빛 장치의 고주파 가열 시스템에 대하여 기존에 정립된 고주파 가열 이론[1]을 기반으로 하여 이론적인 해석만으로 구성된 회로모델을 완성하였다. 임피던스 정합 소자 값들은 임피던스 정합 조건으로 결정함으로써 다양한 장치 및 플라즈마 변수들의 함수로 표현하여 그 의존성을 조사하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.469-473
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• 2010

본 논문에서는 조각 병리 영상을 강체 정합을 통해 하나의 영상으로 자동 스티칭하는 방법을 제안한다. 제안 방법은 영상의 위치 초기화, 위치 보정, 강체 정합의 세 단계로 이루어진다. 첫째, 영상의 위치 초기화 단계에서는 순서 없이 흩어진 부분 영상을 탬플릿 매칭 기법을 사용한 영상 내 문자 인식을 통해 위치를 초기화한다. 둘째, 강체 정합의 정확성을 높이기 위해 코너점을 이용해 부분 영상의 위치를 보정한다. 셋째, 조각 영상 간 거리를 최소화하는 강체 정합을 수행한다. 실험 결과, 부분 영상 간 간격이 최소화되어 하나의 영상으로 스티칭되는 것을 확인하였고, 최적화 반복 횟수와 변환 벡터에 따른 정확성, 견고성 평가를 통해 거리 차의 제곱 합이 최소화되어 수렴됨을 알 수 있었다. 본 논문의 제안 방법은 조각 영상을 하나의 영상으로 스티칭함으로써 병리 조직의 전체적인 구조 파악과 이를 이용한 전립선암 확진에 사용될 수 있다.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.5
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• pp.64-74
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• 2019

Although a non-rigid registration has high demands in clinical practice, it has a high computational complexity and it is very difficult for ensuring the accuracy and robustness of registration. This study proposes a method of applying a non-rigid registration to 3D magnetic resonance images of brain in an unsupervised learning environment by using a deep-learning network. A feature vector between two images is produced through the network by receiving both images from two different patients as inputs and it transforms the target image to match the source image by creating a displacement vector field. The network is designed based on a U-Net shape so that feature vectors that consider all global and local differences between two images can be constructed when performing the registration. As a regularization term is added to a loss function, a transformation result similar to that of a real brain movement can be obtained after the application of trilinear interpolation. This method enables a non-rigid registration with a single-pass deformation by only receiving two arbitrary images as inputs through an unsupervised learning. Therefore, it can perform faster than other non-learning-based registration methods that require iterative optimization processes. Our experiment was performed with 3D magnetic resonance images of 50 human brains, and the measurement result of the dice similarity coefficient confirmed an approximately 16% similarity improvement by using our method after the registration. It also showed a similar performance compared with the non-learning-based method, with about 10,000 times speed increase. The proposed method can be used for non-rigid registration of various kinds of medical image data.

• Spatial Information Research
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• v.16 no.2
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• pp.193-206
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• 2008

If stereo images is used for Digital Elevation Model (DEM) generation, a DEM is generally made by matching left image against right image from stereo images. In stereo matching, tie-points are used as initial match candidate points. The number and distribution of tie-points influence the matching result. DEM made from matching result has errors such as holes, peaks, etc. These errors are usually interpolated by neighbored pixel values. In this paper, we propose the DEM generation method combined with automatic tie-points extraction using existing DEM, image pyramid, and interpolating new DEM using existing DEM for more reliable DEM. For test, we used IKONOS, QuickBird, SPOT5 stereo images and a DTED level 2 data. The test results show that the proposed method automatically makes reliable DEMs. For DEM validation, we compared heights of DEM by proposed method with height of existing DTED level 2 data. In comparison result, RMSE was under than 15 m.

• Progress in Medical Physics
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• v.13 no.4
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• pp.209-217
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• 2002

There have been many studies on the application of the reciprocal advantages of multimodality image to define accurate target volume in the Process of radiation treatment planning. For the proper use of the multimodality images, the registration works between different modality images should be performed in advance. In this study, we selected chamfer matching method and mutual information method as most popular methods in recent image registration studies considering the registration accuracy and clinical practicality. And the two registration methods were analyzed to deduce the optimal registration method according to the characteristics of images. Lung phantom of which multimodality images could be acquired was fabricated and CT, MRI and SPECT images of the phantom were used in this study. We developed the registration program which can perform the two registration methods properly and analyzed the registration results which were produced by the developed program in many different images' conditions. Although the overall accuracy of the registration in both chamfer matching method and mutual information method was acceptable, the registration errors in SPECT images which had lower resolution and in degraded images of which data were removed in some part were increased when chamfer matching method was applied. Especially in the case of degraded reference image, chamfer matching methods produce relatively large errors compared with mutual information method. Mutual information method can be estimated as more robust registration method than chamfer matching method in this study because it did not need the prerequisite works, the extraction of accurate contour points, and it produced more accurate registration results consistently regardless of the images' characteristics. The analysis of the registration methods in this study can be expected to provide useful information to the utilization of multimodality images in delineating target volume for radiation treatment planning and in many other clinical applications.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.240-252
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• 2016

The purposes of this paper examines the extant to which congruence in leader and follower rating of LMX quality is related to organizational commitment, and perceptions of organizational politics(POPs). A conceptual model is introduced that identifies four combinations of leader and follower LMX ratings of Cogliser et al.(2009): balanced/low LMX(low leader and follower LMX), balanced/high LMX(high leader and follower LMX), follower overestimation(low leader LMX/high follower LMX), follower underestimation(high leader LMX/low follower LMX). The summary of results based on a sample of 236 matched pairs of leaders and followers in KOREA is as follows: First, balanced/high LMX and follower overestimation were associated with relatively high levels of affective organizational commitment, and perceptions of organizational politics. However, follower underestimation and balanced/low LMX was related to low levels of follower outcomes. In particular, follower underestimation and balanced/low LMX were significantly different from balanced/high LMX and follower overestimation. Second, perceptions of organizational politics was negatively related to affective organizational commitment in the four LMX relationship types. Especially, the negative relationship between POPs and organizational commitment was stronger for people who are low as compared with high in LMX quality. Theoretical and practical implications of our findings as well as directions for future research are provided.