• Journal of Digital Convergence
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• v.20 no.1
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• pp.185-190
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• 2022

Bluetooth is a common wireless technology that is widely used as a connection medium between various consumer electronic devices. The Bluetooth receiver usually adopts a Viterbi algorithm to improve signal-to-noise ratio performance, but requires complex hardware and calculations for continuous search and estimation for the irrational modulation indexes at the transmission. This paper proposes a non-coherent maximum estimation based 8-State Viterbi FSM to solve these complexity problems. The proposed optimal Viterbi FSM can detect Gaussian frequency-shfit keying symbol without any prior information and estimation for the modulation indexes. The HV1/HV2 packets are used for the estimation of the proposed algorithm and the simulation results have shown performance improvements with about 2dB for 10^-3 BER compared to other ideal approaches such as decision direct method.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.59-60
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• 2008

비선형 부하의 급증으로 고조파로 인한 문제가 점차적으로 커지고 있으나 국내에서는 고조파 관리 기준 및 적용절차의 미비로 제대로 된 고조파 관리가 이루어지지 못하고 있다. 따라서 국내 송전계통에 연계되어는 있는 고압수용가에서 계통으로 유출할 수 있는 고조파 크기를 산정하는 프로그램이 필요하다. 국외에서는 IEC 61000-3-6 고조파 관리기준을 바탕으로 고압 수용가의 고조파 허용치 산정 알고리즘이 개발된 상태이다. 그러나 이 알고리즘을 국내 송전계통에 바로 적용할 수 없다. 따라서 이 알고리즘을 바탕으로 국내 송전계통 실정에 맞는 알고리즘으로 보완하고, 마이크로 소프트 엑셀 프로그램을 이용하여 고압 수용가 고조파 허용치 산정 프로그램을 개발하였다.

• Korean Journal of Remote Sensing
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• v.35 no.6_1
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• pp.999-1009
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• 2019

The importance of high-resolution sea ice maps of the Arctic Ocean is increasing due to the possibility of pioneering North Pole Routes and the necessity of precise climate prediction models. In this study,sea ice classification algorithms for two deep learning models were examined using Sentinel-1 A/B SAR data to generate high-resolution sea ice classification maps. Based on current ice charts, three classes (Open Water, First Year Ice, Multi Year Ice) of training data sets were generated by Arctic sea ice and remote sensing experts. Ten sea ice classification algorithms were generated by combing two deep learning models (i.e. Simple CNN and Resnet50) and five cases of input bands including incident angles and thermal noise corrected HV bands. For the ten algorithms, analyses were performed by comparing classification results with ground truth points. A confusion matrix and Cohen's kappa coefficient were produced for the case that showed best result. Furthermore, the classification result with the Maximum Likelihood Classifier that has been traditionally employed to classify sea ice. In conclusion, the Convolutional Neural Network case, which has two convolution layers and two max pooling layers, with HV and incident angle input bands shows classification accuracy of 96.66%, and Cohen's kappa coefficient of 0.9499. All deep learning cases shows better classification accuracy than the classification result of the Maximum Likelihood Classifier.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2399-2402
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• 2003

주위 광원에 화이트 밸런스 된 카메라로 촬영한 피사체의 RGB신호를 D/sub 65/ 광원하의 표준 디스플레이 상에서 느끼는 자극치 L₁M₁S₁값과, 실제 촬영 장소에서 눈이 충분히 주위 조건에 색순응 된 후 피사체에 대해서 느끼는 자극치 L₂M₂S₂값은 다르게 느껴진다. 이는 LMS 시세포의 파장별 감도특성과 카메라의 RGB 칼라 필터의 파장별 감도특성이 다르기 때문이다. 또한 주위 광원의 종류와 밝기에 따른 물리적인 자극 변화에 대해서 카메라의 경우는 RGB 각 채널의 이득이 선형적 변화를 가진다. 그리고 눈의 경우는 LMS 시세포의 감도가 비선형적 특성을 가지기 때문에 색감의 차이를 발생시킨다. 본 논문에서는 촬영시의 주위 조건에서 원 피사체를 직접 볼 때 느끼는 색감을 표준 시환경인 D/sub 65/ 광원하에서 화이트밸런스가 D/sub 65/인 디스플레이를 통해 피사체 이미지를 볼 경우에 동일한 색감을 느끼도록 하는 알고리즘을 제안한다. 제안된 알고리즘을 이용하여 표준 조건하에서 디스플레이 하였을 때 촬영 조건에서의 등색감을 재현할 수 있다.

• Spatial Information Research
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• v.19 no.1
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• pp.21-28
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• 2011

With the recent overcrowding of metropolitan cities and people's increasing interest in housing environment, there are frequent disputes occurring over the right to daylight. In order to determine whether daylight has been encroached accurately. we need to consider the daylight change by the effect of the geographical features of the surrounding areas but most of the previous relevant studies overlooked this consideration. Thus, in order to determine the encroachment of daylight accurately, this study analyzed the change in the duration of daylight according to geographical features by applying the Hemispherical Viewshed Algorithm to Busan Metropolitan City. According to the results of the analysis, the minimum and average duration of daylight decreased with an increase of altitude by 50m. Second, according to the time bound designated by law, up to 78.6% of the area was influenced by the duration of daylight. Third, the geographical features of the surrounding areas had a significant effect on the duration of daylight. Accordingly, in order to analyze the right to daylight accurately, it is essential to consider the geographical features of the surrounding areas. Furthermore, the Hemispherical Viewshed Algorithm used in this study and the visible area of the sky obtained from the algorithm are considered helpful to analyze the influence of the geographical features of surrounding areas on the legal duration of daylight before analyzing the practical right to daylight.

• Proceedings of the KIPE Conference
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• 2014.11a
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• pp.141-142
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• 2014

본 논문에서는 전기자동차 고전압 시스템의 구성에 대하여 서술하고, 배터리의 에너지를 부하단의 액츄에이터에 전달 및 차단 역할을 수행하는 고전압 릴레이 동작에 대한 제어 알고리즘에 대하여 기술하였다. 또한 고전압 릴레이 제어시에 고려되어야 될 요소에 대한 이론적인 해석을 수행하였으며, 전기자동차의 고전압 시스템에 대한 모델링을 구현하고 스파이스 해석 툴을 통한 시뮬레이션으로 이를 검증하였다.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.77-84
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• 2006

In this paper, we propose an adaptive image watermarking algorithm in DWT domain by using HVS(human Visual system) and SOM(Self-Organizing Map) among neural networks. HVS can be described in terms of two properties of HVS: brightness and texture sensitivity. The SOM is used to obtain the local characteristics of image, Therefore, the suitable strength and length of embedded watermark is determined by using HVS and SOM. The experimental results show that proposed method provides a suitable strength and length of watermark and has good perceptual invisibility and robustness for various attacks.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.267-270
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• 2016

차량 인식 기술은 지능형 자율주행 차량 및 첨단 운전자 보조 시스템 (ADAS: Advanced Driver Assistance System)의 개발에 있어서 핵심 요소 기술이다. 영상 기반의 차량 검출 알고리즘은 일반적으로 가설 생성 (HG: Hypothesis Generation) 단계와 가설 검증 (HV: Hypothesis Verification) 단계로 구성된다. 가설 검증 단계는 관심 영역 (ROI: Region of Interest) 내에 차량이 존재할 가능성이 있는 후보 영역을 만드는 단계로서 전체 알고리즘의 복잡도와 성능에 영향을 미친다. 본 논문에서는 관심 영역 내에 존재하는 그림자와 차량으로 인한 에지를 검출하고 두 특징 정보를 결합한 가설 생성 방법을 제안하고 차량 후방 영상을 이용하여 사각지대를 감시하는 시스템에 제안 방법을 적용하는 실험을 수행하였다. 실험 결과로 제안 방법이 차량 후보 영역의 존재 여부와 위치 정보를 판단하기에 적합하며 이를 통해 차량 검출 알고리즘의 계산 복잡도를 개선하면서도 다음 단계인 가설 검증 시 검출 성능을 향상시킬 수 있음을 확인하였다.

• Journal of Korea Multimedia Society
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• v.6 no.3
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• pp.436-443
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• 2003

A digital video watermarking algorithm is proposed that uses HVS and DWT. In this algorithm, each video frame is decomposed into four-level by DWT which reveals the characteristics of the human eyes and watermark is embedded into DWT coefficients using HVS. For robustness, the lowest level subbands which represent the highest frequency component are excluded in watermark embedding step and watermark is embedded into the perceptually significant coefficients (PSCs) of the rest subbands. PSCs of the baseband are selected according to the amplitude of the coefficients and PSCs of the high frequency subbands are selected by successive subband quantization (SSQ). Watermark is embedded into the PSCs of the baseband and high frequency subbands by Weber's law and spatial masking effect, respectively, for the invisibility and robustness. We tested the performance of the proposed algorithm compared with the conventional watermarking algorithm by computer simulation. Experimental results show that the proposed watermarking algorithm produces a better invisibility and robustness than the conventional algorithm.

• Journal of Internet Computing and Services
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• v.9 no.1
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• pp.33-41
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• 2008

Due to the advantage of wavelet transform such as the compatibility with JPEG2000, multi-resolution decomposition, and application of HVS(Human Visual System), watermarking algorithm based on wavelet transform (DWT) is recently mast interesting research subject. However, mast of researches are focused on theoretical aspects for the robustness rather than practical usage, and. may be not suitable too much complicated to use in practice. In this paper, robust logo watermarking algorithm based on DWT is proposed for large and huge data processing. The proposed method embeds the logo watermark by mapping of $8{\times}8$ blocks in order of the number of '1' of the original image and the randomized watermark image with LFSR. The original image is transformed by 2 level wavelet. The experimental results shows that the watermark is embedded successfully, and the proposed algorithm has the valuable robustness from the image processing like JPEG compression, low pass filter, high pass filter and changes in brightness and contrast.