• 한국융합학회논문지
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• 제4권1호
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• pp.43-48
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• 2013

Designing of similarity on high dimensional data was done. Similarity measure between high dimensional data was considered by analysing neighbor information with respect to data sets. Obtained result could be applied to big data, because big data has multiple characteristics compared to simple data set. Definitely, analysis of high dimensional data could be the pre-study of big data. High dimensional data analysis was also compared with the conventional similarity. Traditional similarity measure on overlapped data was illustrated, and application to non-overlapped data was carried out. Its usefulness was proved by way of mathematical proof, and verified by calculation of similarity for artificial data example.

• 한국지능시스템학회논문지
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• 제11권7호
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• pp.579-583
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• 2001

In the area of data clustering in high dimensional space, one of the difficulties is the time-consuming process for computing vector similarities. It becomes worse in the case of the agglomerative algorithm with the group-average link and mean centroid method, because the cluster similarity must be recomputed whenever the cluster center moves after the merging step. As a solution of this problem, we present an incremental method of similarity computation, which substitutes the scalar calculation for the time-consuming calculation of vector similarity with several measures such as the squared distance, inner product, cosine, and minimum variance. Experimental results show that it makes clustering speed significantly fast for very high dimensional data.

• Journal of information and communication convergence engineering
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• 제11권1호
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• pp.62-68
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• 2013

This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

• 대한기계학회논문집
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• 제18권1호
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• pp.150-155
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• 1994

An Approximate solution for plane two-dimensional incompressible laminar jet issuing from a finite opening with arbitrary initial profile into the same ambient fluid is proposed. For an arbitrary initial velocity profile, the problem is generated from the well known similarity solution for the jet of infinitesimal opening and provides good approximations in the region where the similarity solution cannot be used as an approximation. The asymptotic behavior of this solution is investigated and it is shown that, as goes downstream, the present solution approachs the similarity solution.

• 한국정보과학회논문지:데이타베이스
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• 제32권4호
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• pp.362-371
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• 2005

멀티미디어 데이타베이스와 같은 고차원 응용에서 유사 색인과 검색은 어려운 문제이며, 특히, 다수의 특성을 함께 색인하는 경우에는 더욱 어렵다. 본 논문에서는 고차원 이미지 데이타베이스에서 복합 유사 질의 및 적합성 피드백을 효율적으로 처리하기 위한 새로운 색인 기법인 GB-색인을 제시한다. GB-색인은 각 특성 차원을 독립적으로 처리함으로써 다수의 특성과 다수의 질의 객체를 유연하게 제어한다. 아울러, 비트맵 색인을 통해 데이타베이스에 있는 모든 객체를 비트맵의 집합으로 표현하여 질의를 효율적으로 처리한다. GB-색인의 기술적인 주된 공헌은 다음과 같다: (1) 고차원 데이타를 위한 효율적인 색인, (2) 효율적인 복합 유사 질의 처리, (3) 적합성 피드백을 위한 분리형 질의의 효과적 처리. 실험 결과에 따르면 GB-색인은 순차 탐색 및 VA-파일에 비해 큰 성능 향상을 보였다.

• 한국산학기술학회논문지
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• 제12권6호
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• pp.2807-2814
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• 2011

본 논문은 컬러공간 특성을 이용하여 유해동영상을 식별하는 알고리즘을 개발하고, 실험을 통하여 알고리즘의 효율성을 검증한다. 유해동영상 식별 알고리즘은 2차원 투영맵에 기초하고 있다. 비디오 이미지의 컬러특성을 추출하는데 있어 2차원 투영맵은 후보 프레임을 효과적으로 추출하는데 적용되어진다. 본 연구에서는 제시된 유사도 계산 알고리즘을 이용하여 추출된 프레임과 기준 이미지 간의 유사도를 먼저 계산하고, 유사도 평가를 통하여 유해동영상 후보프레임을 식별해 내고 임계치를 적용하여 최종 판단을 내린다. 제시된 알고리즘을 적용한 실험결과, 유해동영상을 찾는데 있어 컬러히스토그램보다 본 연구에서 제안한 2차원 투영맵을 이용한 기법이 계산속도와 식별능력 면에서 더 우수함을 입증하였다.

• 한국음향학회지
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• 제3권1호
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• pp.16-24
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• 1984

The objective data and subjective data correlated in order to rate sound quality of loudspeaker system and these data were analyzed by the Factor Analysis and Multi-Dimensioinal Scaling. The dimensions yielded Factor Analysis were interpreted as "Contrast", "Metallic", "Rich", "Present" and their relation to physical variables were explored by studying the positions of loudspeaker systems in the respective dimension. When the subjective similarity degree of loudspeaker systems was compared with the objective similarity degree of loudspeaker systems by Multi-Dimensional Scaling, the similarity degree of sound pressure response in the listening room closely coincided with the subjective similarity degree regardless of sound source. This result implies the necessity of measurements taken not only in an anechoic room but also in a listening room in order to rate sound quality of loudspeaker systems.

• 한국지능시스템학회논문지
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• 제14권7호
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• pp.816-820
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• 2004

클러스터링은 데이터 집합을 유사한 데이터 개체들의 클러스터들로 분할하여 데이터 속에 존재하는 의미 있는 정보를 얻는 과정이다. 클러스터링의 주요 쟁점은 고차원 데이터를 효율적으로 클러스터링하는 것과 최적화 문제를 해결하는 것이다. 본 논문에서는 SVM(Support Vector Machines)기반의 새로운 유사도 측정법과 효율적으로 클러스터의 개수를 생성하는 방법을 제안한다. 고차원의 데이터는 커널 함수를 이용해 Feature Space로 매핑시킨 후 이웃하는 클러스터와의 유사도를 측정한다. 이미 생성된 클러스터들은 측정된 유사도 값과 Δd 임계값에 의해서 원하는 클러스터의 개수를 얻을 수 있다. 제안된 방법을 검증하기 위하여 6개의 UCI Machine Learning Repository의 데이터를 사용한 결과, 제시된 클러스터의 개수와 기존의 연구와 비교하여 향상된 응집도를 얻을 수 있었다.

• 대한기계학회논문집B
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• 제24권3호
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• pp.426-434
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• 2000

This paper deals with a generalized similarity solution for the one-dimensional solidification of ternary or higher-order multicomponent alloys. The present approach not only retains the existing features of binary systems such as temperature- solute coupling, shrinkage-induced flow, solid-liquid property differences, and finite back diffusion, but also is capable of handling a multicomponent alloy without restrictions on the partition coefficient and microsegregation parameter. For an alloy of N-solute species, governing equations in the mushy region reduce to (N+2) nonlinear ordinary differential equations via similarity transformation, which are to be solved along with the closed-form solutions for the solid and liquid regions. A linearized correction scheme adopted in the solution procedure facilitates to determine the solidus and liquidus positions stably. The result for a sample ternary alloy agrees excellently with the numerical prediction as well as the reported similarity solution. Additional calculations are also presented to show the utility of this study. Finally, it is concluded that the present analysis includes the previous analytical approaches as subsets.

• Computers and Concrete
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• 제21권4호
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• pp.385-397
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• 2018

This study is focused on the investigation for similitude the requirements between prototype and scaled models to determine the structural behavior of concrete load bearing systems. The scaling concept has been utilized in many engineering branches, has been assisted to engineers and scientists for obtain the behavior of the prototype by using scaled model. The scaling can be done for two purposes, either scaling up or scaling down depending upon the application. Because, scaled down models are the experimentation on scaled models is cheaper than huge structures. These models also provide facilities for experimental work. Similarity relationships between systems are created either by field equations of the system or by dimensional analysis. Within this study, similarity relationships were obtained by both methods. The similarity relations obtained are applied to different load bearing systems and it is determined that the similarity relation is a general expression. In this study, as an example, column, frame, cantilever beam and simple beam are chosen and 1/2, 1/5 and 1/10 scales are applied. The results are compared with the analytical results which are obtained by creating of the finite element models with SAP2000 software of different scaled load bearing systems. The analysis results of all systems are examined and it is determined that the scale factors are constant depending on the scale types for different load bearing systems.