Earticle

Following results about Y, M, C mask are obtained by the Indirect-Screen Color Separation Method. We mark use of experimental system which are in use for the student education. In the All-Projection Method of transparency Copy, the results are summerized as follows; (omitted)

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.

With the mark of the fourth industrial revolution, the smart factory is evolving into a new future manufacturing plant. As a human-machine-interactive tool, augmented reality (AR) helps workers acquire the proficiency needed in smart factories. The valuable data displayed on the AR device must be delivered intuitively to users. Current AR applications used in smart factories lack user movement calibration, and visual fiducial markers for position correction are detected only nearby. This paper demonstrates a marker-based object detection using perspective projection to adjust augmented content while maintaining the user's original perspective with displacement. A new angle, location, and scaling values for the AR content can be calculated by comparing equivalent marker positions in two images. Two experiments were conducted to verify the implementation of the algorithm and its practicality in the smart factory. The markers were well-detected in both experiments, and the applicability in smart factories was verified by presenting appropriate displacement values for AR contents according to various movements.

The most popular technique for image retrieval in a heterogeneous collection of color images is the comparison of images based on their color histogram. The color histogram describes the distribution of colors in the color space of a color image. In the most image retrieval systems, the color histogram is used to compute similarities between the query image and all the images in a database. But, small changes in the resolution, scaling, and illumination may cause important modifications of the color histogram, and so two color images may be considered to be very different from each other even though they have completely related semantics. A new method of color feature representation based on the 3-dimensional RGB color map is proposed to improve the defects of the color histogram. The proposed method is based on the three 2-dimensional projection map evaluated by projecting the RGB color space on the RG, GB, and BR surfaces. The experimental results reveal that the proposed is less sensitive to small changes in the scene and that achieve higher retrieval performances than the traditional color histogram.

Purpose: This study was conducted to comparative evaluate the marginal and internal gap of three-unit metal frameworks(Co-Cr) fabricated by wax milling method and digital light projection method of CAD/CAM systems. Methods: All the specimens were fabricated by three different fabrication methods: conventional wax up with casting(CWC), milled wax block with casting(MWC), digital light projection with casting(DLPC) (n=10 each). The marginal and internal fits of specimens were examined using a replica technique. The light-body silicone thickness was measured at 8 reference points(each abutment: 16 measurements). All measurements were conducted by a stereomicroscope. Digital photo were taken at 150× magnification and then analyzed using a measurement software. The Mann-Whitney test was used for analyzing the results. Results: Statistically significant differences were found between the fabrication methods(p<0.001). The mean(SD) is μm for fabrication methods, the mean marginal fit were recorded respectively, CWC 63(38), MWC group 50(33), DLPC 103(54) and the mean internal fit CWC 96(47), MWC group 116(41), DLPC 138(66). Conclusion : The marginal and internal fit were statistically different according to the fabrication methods(p<0.001). In all fabrication methods, the greatest misfit was found the occlusal area of all specimens.

Recently Moire and PMP(Phase Measuring Profilometry) are adopted as a practical methodology for non-contact 3-D measurement of free surface. These methods extract the 3-D informations from the images of the object projected with stripe-pattern light. This paper presents a simple projector generating stripe-pattern light using expensive polygon mirror. In this projector, slit-beam is generated with a Laser diode and a rod lens and the laser diode is switched on/off synchronizing with the rotation of the polygon mirror. So its structure is very simple and light-weighted compared to the existent projection methods using several lenses and it is also easy to change the pitch and the phase of the stripe pattern. Experimental results show that the intensity profile of the stripe pattern can be approximated with sinusoidal curve by reducing the pitch of the stripe pattern.

The Hemi-sphere projection method produces an image that includes all surrounding visual landscape from a view point. This characteristic can solve the problem of perspective method that has only a limited view angle, and thus can be a potentially effective method for the analysis of visual landscape. This study tried to adopt the hemi-sphere projection method in the evaluation of streetscape, and examined its effectiveness and possibilities. Computer animations using the perspective method and the hemi-sphere method were produced for Bang-Hak Ro, Seoul, and the kames of the animations were reclassed to identify the visibility ratio of physical elements(buildings, sky and mountains). A preference questionnaire was given to 51 university students, and the relationships between the visibility ratio and visual preference were analyzed. The results showed that visual preference of streetscape can be explained by three factors: Openness, Uniformity, and Variousness, accounting for 63.2% of the total variance, and among which Openness showed the highest proportion at 32.1％. The visibility ratio calculated by the hemi-sphere method yielded strong correlation coefficients with Openness, and it was much higher than with the perspective method. The hemi-sphere method also produced significant correlation coefficients about Uniformity and Variousness, but the perspective method could not. The results demonstrated that the hemi-sphere method can provide more accurate observation of visual changes, and that it can be an effective method for the analysis of streetscape.

LAT(Laser Assisted Turning) is a method that applies a machining process after softening a workpiece in which a preheating process is locally applied to its machining section using laser heat source. LAT shows several advantages, such as high productivity, reduction of manufacturing cost, high quality. Analysis of temperature distribution after preheating for LAT is very difficult due to its very small heat input area and large energy and its movement. Also, the LAT for a square bar is more difficult because the shape of a laser heat source can be changed according to the rotation of the workpiece. In this study, thermal analysis for LAT of square bar was performed using laser heat source projection method. And, the analysis results were compared with the results of the prior study of numerical calculation method. It is thus shown that the proposed method is efficient for the thermal analysis of a shaped bar.

테마파크, 홍보관, 과학관 등의 다면 영상시스템에서 초기 설치 시 빔 프로젝터들간의 하드웨어적 특성 및 설치 후 시간이 경과함에 따라 발생되는 영상의 열화 현상이 발생한다. 본 연구에서는 영상관의 품질과 유지보수의 어려움을 해결하기 위해 10비트 High-depth 및 고해상도 360° 프로젝션 영상 분석 기술을 연구하였다. 그 목적은 경제적 손실을 최소화하고, 영상의 품질을 효율적으로 지원할 수 있는 특수영상관 캘리브레이션 시스템 개발을 목표로 한다. 이를 위해 영상 분석 기술의 방법을 제안하였고, 영상 분석 기술에 대한 세부 기능과 평가방법 등을 설명하였다. 평가방법은 평가 항목별로 제시하였고, 실험 방법과 목표치에 대한 추정 값을 제시하였다.

Image degradation will occur depending on hardware characteristics according to the lapse of time between beam projectors when multivision system is installed in the Theme park/Exhibition/Science Museum. In this paper, we have researched the 10-bit High-depth and high-resolution 360 ° projection image analysis technique to solve the problems of quality and the maintenance of the theater. The goal is to minimize the economic losses and the development of special theater calibration system that can efficiently support a quality of an image. We proposed the method of image analysis technology, and explained the detailed functions and evaluation methods for image analysis technique. Evaluation method included the performance items, and proposed reasonable value to the experimental method and the goal value.

본 논문에서는 영상 인식 환경에서 영상 정렬에 필요한 회전각 추정 방법 중 낮은 사양의 임베디드 기반 환경에 적용 가능한 방법을 제안하고 기존의 복소 모멘트를 이용하는 방법과 비교하였다. 제안된 방법은 영상을 극좌표로 변환한 후 거리축 방향으로 투영된 1차원 프로파일의 유사도 매칭을 통하여 회전각을 추정한다. 추가로 연산을 더 단순화시킨 투영 프로파일의 벡터합을 이용하는 방법을 선택할 수도 있다. 이진 패턴 영상과 흑백 명암 영상을 대상으로 진행한 실험을 통하여 제안된 방법의 추정 오차가 기존의 복소 모멘트를 이용하는 방법과 큰 차이가 없으며 보다 적은 연산과 낮은 시스템 자원이 요구됨을 보였다. 추후 확장을 위하여 흑백 명암영상에서 회전 중심을 일치시키는 방법에 관한 연구가 필요할 것이다.

In this paper, we studied the rotation angle estimation methods required for image alignment in an image recognition environment. In particular, a rotation angle estimation method applicable to a low specification embedded-based environment was proposed and compared with the existing method using complex moment. The proposed method estimates the rotation angle through similarity mathcing of the 1D projection profile along the radial axis after converting an image into polar coordinates. In addition, it is also possible to select a method of using vector sum of the projection profile, which more simplifies the calculation. Through experiments conducted on binary pattern images and gray-scale images, it was shown that the estimation error of the proposed method is not significantly different from that of complex moment-based method and requires less computation and system resources. For future expansion, a study on how to match the rotation center in gray-scale images will be needed.

본 논문은 패턴인식에서 자주 사용되는 투영행렬을 희소화하는 문제를 다룬다. 최근 임베디드 시스템이 널리 사용됨에 따라 탑재되는 프로그램의 용량이 제한받는 경우가 빈번히 발생한다. 개발된 프로그램은 상수 데이터를 포함하는 경우가 많다. 예를 들어, 얼굴인식과 같은 패턴인식 프로그램의 경우 고차원 벡터를 저차원 벡터로 차원을 축소하는 투영행렬을 사용하는 경우가 많다. 인식성능 향상을 위해 영상으로부터 매우 높은 차원의 고차원 특징벡터를 추출하는 경우 투영행렬의 사이즈는 매우 크다. 최근 라소 회귀분석 방법을 이용한 RSR(rotated sparse regression) 방법론[1]이 제안되었다. 이 방법론은 여러 실험을 통해 희소행렬을 구하는 가장 우수한 알고리즘 중 하나로 평가받고 있다. 우리는 본 논문에서 RSR을 개선할 수 있는 세 가지 방법론을 제안한다. 즉, 학습데이터에서 이상치를 제거하여 일반화 성능을 높이는 방법, 학습데이터를 랜덤 샘플링하여 희소율을 높이는 방법, RSR의 목적함수에 엘라스틱 넷 회귀분석의 패널티 항을 사용한 E-RSR(elastic net-RSR) 방법을 제안한다. 우리는 실험을 통해 제안한 방법론이 인식률을 희생하지 않으며 희소율을 크게 증가시킴으로써 기존 RSR 방법론을 개선할 수 있음을 보였다.

This paper addresses the problem to make sparse the projection matrix in pattern recognition method. Recently, the size of computer program is often restricted in embedded systems. It is very often that developed programs include some constant data. For example, many pattern recognition programs use the projection matrix for dimension reduction. To improve the recognition performance, very high dimensional feature vectors are often extracted. In this case, the projection matrix can be very big. Recently, RSR(roated sparse regression) method[1] was proposed. This method has been proved one of the best algorithm that obtains the sparse matrix. We propose three methods to improve the RSR; outlier removal, sampling and elastic net RSR(E-RSR) in which the penalty term in RSR optimization function is replaced by that of the elastic net regression. The experimental results show that the proposed methods are very effective and improve the sparsity rate dramatically without sacrificing the recognition rate compared to the original RSR method.

Computational eciency is an important theme in uid simulation since its heavy com- putational load is burden to designers. Our objective is to proposed a grid based method satisfying divergence free property without the projection method. The paper transforms the momentum conservation part of the Navier-Stokes equations to vector potential based equations. Our method do not need any global operations for mass conservation. The trans- formed equation is solved numerically in similar manner to fractional step method.

A color overlapping method for increasing the brightness of projection systems using light-emitting diodes (LEDs) is proposed. The proposed approach drives the pulse width modulated signals of red, green, and blue LEDs. This color overlapping method synthesizes secondary colors of yellow and cyan from primary colors of red, green, and blue. By the proposed method, the brightness of the projected image is improved by about 30% compared to the conventional non-color-overlapping method in a projection system with LEDs.

In general, hot metal castings contract and molds expand during the cooling step of a casting process. Therefore, it is important to consider both the casting and mold at the same time in a casting process analysis. For a more accurate analysis that includes the contact characteristics, matching each node of the casting and mold in the contact area is recommended. However, it is very difficult to match the nodes of the casting and the mold when generating elements due to the geometric problem of CAD model data. The present study proposes a mesh generation technique that considers mechanical contact between the casting and the mold in a casting analysis (finite element analysis). The technique focuses on the fact that the mold surrounds the casting. After generating the 3D elements for the casting, the surface elements of the casting in contact with the mold are projected inside the mold to create contact elements that coincide with the contact surface of the casting. It was confirmed that high-quality contact element information and a 3D element net can be automatically generated by the method proposed in this study.

In this article, we propose a shrinking projection algorithm for solving a finite family of generalized equilibrium problem which is also a fixed point of a nonexpansive mapping in the setting of Hadamard manifolds. Under some mild conditions, we prove that the sequence generated by the proposed algorithm converges to a common solution of a finite family of generalized equilibrium problem and fixed point problem of a nonexpansive mapping. Lastly, we present some numerical examples to illustrate the performance of our iterative method. Our results extends and improve many related results on generalized equilibrium problem from linear spaces to Hadamard manifolds. The result discuss in this article extends and complements many related results in the literature.

The purpose of this paper is to introduce some strong convergence theorems for the problem of finding a common zero of a finite family of monotone operators and the problem of finding a common fixed point of a finite family of nonexpansive in Hilbert spaces by hybrid projection method.

In this paper we propose the iterated projection method for the approximate solution of an integro-differential equations with Cauchy kernel in $L^2([-1,1],\mathbb{C})$ using Legendre polynomials. We prove the convergence of the method. A system of linear equations is to be solved. Numerical examples illustrate the theoretical results.

The purpose of this paper is to introduce a hybrid projection method for finding a common element of the set of solutions of a generalized equilibrium problem, the set of solutions of a variational inclusion problem and the set of common fixed points of a finite family of strict pseudo-contractions in Hilbert spaces.

The point cloud provides viewers with intuitive geometric understanding but requires a huge amount of data. Moving Picture Experts Group (MPEG) has developed video-based point-cloud compression in the range of 300-700. As the compression rate increases, the complexity increases to the extent that it takes 101.36 s to compress one frame in an experimental environment using a personal computer. To realize real-time point-cloud compression processing, the direct patch projection (DPP) method proposed herein simplifies the complex patch segmentation process by classifying and projecting points according to their geometric positions. The DPP method decreases the complexity of the patch segmentation from 25.75 s to 0.10 s per frame, and the entire process becomes 8.76 times faster than the conventional one. Consequently, this proposed DPP method yields similar peak signal-to-noise ratio (PSNR) outcomes to those of the conventional method at reduced times (4.7-5.5 times) at the cost of bitrate overhead. The objective and subjective results show that the proposed DPP method can be considered when low-complexity requirements are required in lightweight device environments.