• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권7호
• /
• pp.3778-3793
• /
• 2019

Image steganography is one of the key types of steganography where a message to be sent is hidden inside the cover image. The most commonly used techniques for image steganography rely on LSB steganography. In this paper, a novel image steganography technique based on blocks matrix determinant method is proposed. Under this method, a cover image is divided into blocks of size $2{\times}2$ pixels and the determinant of each block is calculated. The comparison of the determinant values and corresponding data bits yields a delicate way for the embedment of data bits. The main aim of the proposed technique is to ensure concealment of secret data inside an image without affecting the cover image quality. When the proposed steganography method is compared with other existing LSB steganography methods, it is observed that it not only provides higher PSNR, lower MSE but also guarantees better quality of the stego image.

• 대한전자공학회논문지SD
• /
• 제41권2호
• /
• pp.17-25
• /
• 2004

디지털 흘로그래픽 정보 저장을 위한 새로운 데이터 매트릭스 구조와 이 구조를 통해 정보 추출할 수 있는 알고리즘을 제안하고 구현하였다 제안된 데이터 매트릭스 구조는 실제 사용자 정보와 기하학적 변형에 따른 raw BER을 줄이기 위한 참조 격자로 이루어져있고, 정보를 추출하는 알고리즘은 찬조격자의 위치를 판별하고 이 정보로부터 실제 사용자 정보를 추출하는 구조로되어 있다. 실험 결과 영상 이동, 회전, 배율변화에 대해 각각 3.09×10-18, 6.14×10-12, 1.2×10-7 의 평균 raw BER을 얻음으로서, 기하학적 변형에 대한 우수한 검출특성을 갖고 있음이 증명되었다.

• Journal of the Korean Data and Information Science Society
• /
• 제24권3호
• /
• pp.533-541
• /
• 2013

이 연구에서는 라소를 이용한 간편한 주성분분석을 제안한다. 이 방법은 다음의 두 단계로 구성되어 있다. 먼저 주성분분석에 의해 주성분을 구한다. 다음으로 각 주성분을 반응변수로 하고 원자료를 설명변수로 하는 라소 회귀모형에 의한 회귀계수 추정량을 구한다. 이 회귀계수 추정량에 기반한 새로운 주성분을 사용한다. 이 방법은 라소 회귀분석의 성질에 의해 회귀계수 추정량이 보다 쉽게 0이 될 수 있기 때문에 해석이 쉬운 장점이 있다. 왜냐하면 주성분을 반응변수로 하고 원자료를 설명변수로 하는 회귀모형의 회귀계수가 고유벡터가 되기 때문이다. 라소 회귀모형을 위한 R 패키지를 이용하여 모의생성된 자료와 실제 자료에 이 방법을 적용하여 유용성을 보였다.

• 한국환경과학회:학술대회논문집
• /
• 한국환경과학회 2003년도 International Symposium on Clean Environment
• /
• pp.33-36
• /
• 2003

Principal component analysis (PCA) was used to improve image classification by the unsupervised classification techniques, the K-means. To do this, I selected a Landsat TM scene of Jeju Island, Korea and proposed two methods for PCA： unstandardized PCA (UPCA) and standardized PCA (SPCA). The estimated accuracy of the image classification of Jeju area was computed by error matrix. The error matrix was derived from three unsupervised classification methods. Error matrices indicated that classifications done on the first three principal components for UPCA and SPCA of the scene were more accurate than those done on the seven bands of TM data and that also the results of UPCA and SPCA were better than those of the raw Landsat TM data. The classification of TM data by the K-means algorithm was particularly poor at distinguishing different land covers on the island. From the classification results, we also found that the principal component based classifications had characteristics independent of the unsupervised techniques (numerical algorithms) while the TM data based classifications were very dependent upon the techniques. This means that PCA data has uniform characteristics for image classification that are less affected by choice of classification scheme. In the results, we also found that UPCA results are better than SPCA since UPCA has wider range of digital number of an image.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권5호
• /
• pp.2588-2609
• /
• 2019

Speech homomorphic encryption has become one of the key components in secure speech storing in the public cloud computing. The major problem of speech homomorphic encryption is the huge data expansion of speech cipher-text. To address the issue, this paper presents a speech homomorphic encryption scheme with less data expansion, which is a probabilistic statistics and addition homomorphic cryptosystem. In the proposed scheme, the original digital speech with some random numbers selected is firstly grouped to form a series of speech matrix. Then, a proposed matrix encryption method is employed to encrypt that speech matrix. After that, mutual information in sample speech cipher-texts is reduced to limit the data expansion. Performance analysis and experimental results show that the proposed scheme is addition homomorphic, and it not only resists statistical analysis attacks but also eliminates some signal characteristics of original speech. In addition, comparing with Paillier homomorphic cryptosystem, the proposed scheme has less data expansion and lower computational complexity. Furthermore, the time consumption of the proposed scheme is almost the same on the smartphone and the PC. Thus, the proposed scheme is extremely suitable for secure speech storing in public cloud computing.

• 대한기계학회논문집A
• /
• 제24권8호
• /
• pp.1931-1939
• /
• 2000

Operating excitation forces of the linear vibratory system are normally determined by direct measurement techniques using load cells, strain gauges, etc. But, hydraulic forces of the rotating turbomachinery such as centrifugal pumps are exerted on an impeller due to asymmety of the flow by the interaction between pump impeller and volute. So, investigations of wide range of hydraulic designs and geometric deviations are difficult by direct method. This paper presents a hybrid approach for fourier transformed operational excitation forces, which uses pseudo-inverse matrix of the transfer matrix for the system and the measured vibrational data with standard installed pump. The determination of the transfer function matrix is based on a linear rotor/stationary system and steady state harmonic response in finite element analysis. And, vibrational data is collected in both vertical and horizontal directions at inboard and outboard bearing housings. The results of the process may be enhanced by making acceleration measurements at many more locations than there are forces to be determined.

• Nuclear Engineering and Technology
• /
• 제45권7호
• /
• pp.859-870
• /
• 2013

The paper summarizes the irradiation test and post-irradiation examination (PIE) data for the U-Mo low-enriched fuel that was irradiated in the MIR reactor under the RERTR Program. The PIE data were analyzed for both full-size fuel rods and mini-rods with atomized powder dispersed in Al matrix as well as with additions of 2%, 5% and 13% of silicon in the matrix and ZrN protective coating on the fuel particles. The full-size fuel rods were irradiated up to an average burnup of ${\sim}60%^{235}U$; the mini-rods were irradiated to an average burnup of ${\sim}85%^{235}U$. The presented data show a significant increase of the void fraction in the U-Mo alloy as the U-235 burnup rises from ~ 40% up to ~ 85%. The effect of irradiation test conditions and U-235 burnup were analyzed with regard to the formation of an interaction layer between the matrix and fuel particles as well as generation of porosity in the U-Mo alloy. Shown here are changes in distribution of U fission products as the U-235 burnup increases from ~ 40% up to ~ 85%.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권5호
• /
• pp.1163-1185
• /
• 2024

With the sharp increase in the volume of literature data, researchers must spend considerable time and energy locating desired papers. A paper recommendation is the means necessary to solve this problem. Unfortunately, the large amount of data combined with sparsity makes personalizing papers challenging. Traditional matrix decomposition models have cold-start issues. Most overlook the importance of information and fail to consider the introduction of noise when using side information, resulting in unsatisfactory recommendations. This study proposes a paper recommendation method (PR-SLSMF) using document-level representation learning with citation-informed transformers (SPECTER) and low-rank and sparse matrix factorization; it uses SPECTER to learn paper content representation. The model calculates the similarity between papers and constructs a weighted heterogeneous information network (HIN), including citation and content similarity information. This method combines the LSMF method with HIN, effectively alleviating data sparsity and cold-start issues and avoiding topic drift. We validated the effectiveness of this method on two real datasets and the necessity of adding side information.

• 한국항행학회논문지
• /
• 제12권4호
• /
• pp.372-377
• /
• 2008

본 논문은 의미특징행렬(semantic feature matrix)과 의미변수행령(semantic variable matrix)을 이용하는 질의 기반의 새로운 문서를 요약방법을 제안한다. 제안된 방법은 비지도 학습 방법으로 질의와 문장 간에 사전학습이 필요 없고, 의미 특징(semantic feature)과 의미변수(semantic variable)를 이용하여 질의에 적합한 하위 주제를 잘 반영하여서 정확한 문서를 요약 할 수 있다. 이것은 비음수 행렬 분해가 주제들로 구성된 문서의 내부구조를 나타내는 의미특징을 자연스럽게 추출할 수 있기 때문이다. 실험결과 제안방법이 다른 방법에 비하여 좋은 성능을 보인다.

• 대한전자공학회논문지SP
• /
• 제44권2호
• /
• pp.102-107
• /
• 2007

기존의 Matrix pencil 방식은 하나의 스냅샷으로 프로세싱 하기 때문에 신호의 다중경로가 존재하는 경우이거나 데이터 길이가 짧은 경우, 또는 환경이 nonstationary한 환경에서 DOA 추정에 적합한 방법이다. 그러나 array의 수가 많아지는 경우에는 복소수 계산으로 인하여 계산시간이 상당히 늘어나게 된다. 본 논문에서는 Matrix Pencil 방법의 계산량을 줄이기 위하여 unitary 변환을 이용한 Matrix Pencil방법을 제안 하였다. Unitary 변환이 Matrix Pencil에 성공적으로 적용되었으며, 컴퓨터 실험결과는 SNR에 따른 error을이 일치함을 보여 준다.