• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.5
• /
• pp.149-154
• /
• 2021

Unlike or common images, Hyperspectral images were taken by continuous electromagnetic spectral into numerous bands according to wavelengths and are high-capacity high-resolution images. It has more information than ordinary images, so it is used to explore objects and materials. To reduce the amount of information in hyper-spectral images to be processed, band selection is utilized. Existing band selection techniques are heuristic techniques based on statistics, which take a long time and often lack generality and universality. To compensate for this, this paper utilizes quantization concept to draw representative bands through Discrete Range, we use them for band selection algorithm. Experimental results showed that the proposed technique performed much faster than conventional band selection methods, and that the performance accuracy was similar to that of the original even though the number of bands was reduced by one-seventh to one-tenth.

• The Korean Journal of Applied Statistics
• /
• v.33 no.3
• /
• pp.309-320
• /
• 2020

Bayesian networks, also known as directed acyclic graphs (DAG), are used in many areas of medicine, meteorology, and genetics because relationships between variables can be modeled with graphs and probabilities. In particular, Bayesian network classifiers, which are used to predict discrete data, have recently become a new method of data mining. Bayesian networks can be grouped into different models that depend on structured learning methods. In this study, Bayesian network models are learned with various properties of structure learning. The models are compared to the simplest method, the naïve Bayes model. Classification results are compared by applying learned models to various real data. This study also compares the relationships between variables in the data through graphs that appear in each model.

• Journal of KIISE:Information Networking
• /
• v.30 no.1
• /
• pp.17-23
• /
• 2003

In this Paper. we Propose a digital watermarking scheme for digital images based on a perceptual model, the frequency masking, texture making, and luminance masking Properties of the human visual system(HVS), which have been developed in the context of image compression. We embed two types of watermark, one is pseudo random(PN) sequences, the other is a logo image. To embed the watermarks, original images are decomposed into $8\times8$ blocks, and the discrete cosine transform(DCT) is carried out for each block. Watermarks are casted in the low frequency components of DCT coefficients. The perceptual model adjusts adaptively scaling factors embedding watermarks according to the local image properties. Experimental results show that the proposed scheme presents better results than that of non-perceptual watermarking methods for image qualify without loss of robustness.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.2
• /
• pp.17-22
• /
• 2014

Watermarking is one of the methods that insist on a copyright as it append digital signals in digital informations like still mobile image, video, other informations. This paper proposed an improved DCT-based watermarking scheme using quantized coefficients of image. This process makes quantized coefficients through a Discrete Cosine Transform and Quantization. The watermark is embedded into the quantization coefficients in accordance with location(key). The quantized watermarked coefficients are converted to watermarked image through the inverse quantization and inverse DCT. Watermark extract process only use watermarked image and location(key). In watermark extract process, quantized coefficients is obtained from watermarked image through a DCT and quantization process. The quantized coefficients select coefficients using location(key). We perform it using inverse DCT and get the watermark'. Simulation results are satisfied with high quality of image (PSNR) and Normalized Correlation(NC) from the watermarked image and the extracted watermark.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2009.06a
• /
• pp.260-260
• /
• 2009

초박형 절연막은 현재 다양한 전자소자의 제작과 향상을 위하여 활용되고 있으며, 일반적인 화학 기상 증착 방법으로는 균일도를 확보하기 어려운 문제점을 가지고 있다. 본 논문에서는 디스플레이의 구동소자로 활용되는 박막 트랜지스터의 특성 향상과 비휘발성 메모리 소자의 터널링 박막에 응용하기 위하여 초박형 실리콘 옥시나이트라이드 박막의 증착과 이의 특성을 분석하였다. 실리콘 옥시나이트라이드 박막은 실리콘 산화막에 질소가 주입되어 있는 형태로 실리콘 산화막과 실리콘 계면상에 존재하는 질소는 터널링 전류와 결함 형성을 감소시키며, bulk 내에 존재하는 질소는 단일 실리콘 산화막에 비해 더 두꺼운 박막을 커패시턴스의 감소없이 이용할 수 있는 장점이 있다. 플라즈마 처리 기법을 이용하였을 경우에는 초박형의 균일한 박막을 얻을 수 있으며, 본 연구에서는 이산화질소 플라즈마를 이용하여 활성화된 질소 및 산소 라디칼들이 실리콘 계면을 개질하여 초박형 실리콘 옥시나이트라이드 박막을 형성활 수 있다. 플라즈마 처리 시간과 RF power의 변화에 따라 형성된 실리콘 옥시나이트라이드 박막의 두께 및 광학적 특성은 엘립소미터를 통하여 분석하였으며, 전기적인 특성은 금속-절연막-실리콘의 MIS 구조를 형성하여 커패시턴스-전압 곡선과 전류-전압 곡선을 사용하여 평가하였다. 이산화질소 플라즈마 처리 방법을 사용한 실리콘 옥시나이트라이드 박막을 log-log 스케일로 시간과 박막 두께의 함수로 전환해보면 선형적인 증가를 나타내며, 이는 초기적으로 증착률이 높고 시간이 지남에 따라 두께 증가가 포화상태에 도달함을 확인할 수 있다. 실리콘 옥시나이트라이드 박막은 초기적으로 산소의 함유량이 많은 형태의 박막으로 구성되며, 시간의 증가에 따라서 질소의 함유량이 증가하여 굴절률이 높고 더욱 치밀한 형태의 박막이 형성되었으며, 이는 시간의 증가에 따라 플라즈마 챔버 내에 존재하는 활성종들은 실리콘 박막의 개질을 통한 실리콘 옥시나이트라이드 박막의 두께 증가에 기여하기 보다는 형성된 박막의 내부적인 성분 변화에 기여하게 된다. 이산화질소 플라즈마 처리 시간의 변화에 따라 형성된 박막의 정기적인 특성의 경우, 2.3 nm 이상의 실리콘 옥시나이트라이드 박막을 가진 MIS 구조에서 accumulation과 inversion의 특성이 명확하게 나타남을 확인할 수 있다. 아산화질소 플라즈마 처리 시간이 짧은 실리콘 옥시나이트라이드 박막의 경우 전압의 변화에 따라 공핍영역에서의 기울기가 현저히 감소하며 이는 플라즈마에 의한 계면 손상으로 계면결합 전하량이 증가에 기인한 것으로 판단된다. 또한, 전류-전압 곡선을 활용하여 측정한 터널링 메카니즘은 2.3 nm 이하의 두께를 가진 실리콘 옥시나이트라이드 박막은 직접 터널링이 주도하며, 2.7 nm 이상의 두께를 가진 실리콘 옥시나이트라이드 박막은 F-N 터널링이 주도하고 있음을 확인할 수 있다. 즉, 2.5 nm 두께를 경계로 하여 실리콘 옥시나이트라이드 박막의 터널링 메카니즘이 변화함을 확인할 수 있다. 결론적으로 2.3 nm 이상의 두께를 가진 실리콘 옥시나이트라이드 박막에서 전기적인 안정성을 확보할수 있어 박막트랜지스터의 절연막으로 활용이 가능하며 2.5 nm 두께를 경계로 터널링 메커니즘이 변화하는 특성을 이용하여 비휘발성 메모리 소자 제작시 전하 주입 및 기억 유지 특성을 확보를 위한 실리콘 옥시나이트라이드 터널링 박막을 효과적으로 선택하여 활용할 수 있다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.13-13
• /
• 2018

우리나라의 하천 홍수량 자료는 대부분 댐 상류나 홍수위험 지역 등 유역 내 하천관리가 필요한 주요 지점에서만 측정되고 있다. 그러나 매년 관측되는 강우량 자료에 비해 유출량 자료는 유역의 크기가 작아질수록 매우 제한적이며, 신뢰성 있는 홍수량자료의 구축이 어려운 실정이다. 이에 본 연구에서는 유역특성인자(유역면적, 유역경사)를 매개변수로 활용하여 권역별 설계홍수량 자료에 대한 지역화 분석을 수행하였으며, 미계측 유역에서 홍수량 추정이 가능하도록 모형을 개발 하였다. 모형에서 발생하는 불확실성을 고려하기 위하여 Bayesian GLM(generalized linear method)기법을 활용하였으며, 최종적으로 모형의 매개변수와 산정되는 홍수량 결과에 대한 불확실성 구간을 정량적으로 제시하였다. 제안된 모형을 통해 일부 유역을 미계측 유역으로 가정하여 홍수량을 추정하였으며, 통계적 지표를 활용하여 기수립된 설계홍수량 자료와의 비교를 통해 모형의 적합성을 평가하였다. 본 연구를 통해 제안된 모형은 검증과정과 도출된 결과를 통해 유역특성에 따른 재현기간별 홍수량을 효과적으로 재현하는데 유리할 뿐만 아니라, Bayesian 기법을 도입하여 매개변수와 도출된 결과에 대한 불확실성의 정량적인 평가가 가능한 장점을 확인하였다.

• Journal of Broadcast Engineering
• /
• v.24 no.1
• /
• pp.164-181
• /
• 2019

This paper introduces the analysis and development of digital holographic data codec technology to effectively compress hologram data. First, the generation method and data characteristics of the hologram standard data set provided by JPEG Pleno are introduced. We analyze energy compaction according to hologram generation method using discrete wavelet transform and discrete cosine transform. The quantization efficiency according to the hologram generation method is analyzed by applying uniform quantization and non-uniform quantization. We propose a transformation method quantization method suitable for hologram generation method through transform and quantization experiments. Finally, holograms are compressed using standard compression codecs such as JPEG, JPEG2000, AVC/H.264 and HEVC/H.265 and the results are analyzed.

• Journal of the Korea Computer Graphics Society
• /
• v.25 no.3
• /
• pp.143-152
• /
• 2019

This paper presents two new techniques for solving the two problems of the water curtain: 'shape distortion' caused by gravity and 'resolution degradation' caused by fine satellite droplets around the shape. In the first method, when the user converts a three-dimensional model to a vertical sequence of slices, the slices are evenly spaced. The method is to adjust the time points at which the equi-distance slices are created by the nozzle array. In this method, even if the velocity of a water drop increases with time by gravity, the water drop slices maintain the equal interval at the moment of forming the whole shape, thereby preventing distortion. The second method is called the minimum time interval technique. The minimum time interval is the time between the open command of a nozzle and the next open command of the nozzle, so that consecutive water drops are clearly created without satellite drops. When the user converts a three-dimensional model to a sequence of slices, the slices are defined as close as possible, not evenly spaced, considering the minimum time interval of consecutive drops. The slices are arranged in short intervals in the top area of the shape, and the slices are arranged in long intervals in the bottom area of the shape. The minimum time interval is pre-determined by an experiment, and consists of the time from the open command of the nozzle to the time at which the nozzle is fully open, and the time in which the fully open state is maintained, and the time from the close command to the time at which the nozzle is fully closed. The second method produces water drop sculptures with higher resolution than does the first method.

• Journal of Korea Water Resources Association
• /
• v.30 no.3
• /
• pp.269-278
• /
• 1997

Operating rules, the basic principle of reservoir operation, are mostly developed from maximum or minimum, mean inflow series so that those rules cannot be used in practical operating situations to estimate the expected benefits or provide the operating policies for uncertainty conditions. Many operating rules based on the deterministic method that considers all operation variables including inflows as known variables can not reflect to uncertainties of inflow variations. Explicit operating rules can be developed for improving the weakness. In this method, stochastic trend of inflow series, one of the reservoir operation variables, can be directly method, the stochastic technique was applied to develop reservoir operating rule. In this study, stochastic dynamic programming using the concepts was applied to develop optimal operating rule for the Chungju reservoir system. The developed operating rules are regarded as a practical usage because the operating policy is following up the basic concept of Lag-1 Markov except for flood season. This method can provide reservoir operating rule using the previous stage's inflow and the current stage's beginning storage when the current stage's inflow cannot be predicted properly.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.6
• /
• pp.673-678
• /
• 2003

In this paper, we proposes a method for face recognition using HMM(hidden Markov model) and wavelet coefficients First, input images are compressed by using the multi-resolution analysis based on the discrete wavelet transform. And then, the wavelet coefficients obtained from each subband are used as feature vectors to construct the HMMs. In the recognition stage, we obtained higher recognition rate by summing of each recognition rate of wavelet subband. The usefulness of the proposed method was shown by comparing with conventional VQ and DCT-HMM ones. The experimental results show that the proposed method is more satisfactory than previous ones.