• Title/Summary/Keyword: color calculation

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Direct Fairing for Geometric Modeling of Hull Surface (선형의 기하학적 모델링을 위한 직접순정법에 관한 연구)

  • W.D. Kim;J.H. Nam;K.W. Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.28 no.1
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    • pp.1-11
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    • 1991
  • When a geometric modeling of a hull form for ship design and hull production is done, a hull fairing is a tedious process which wastes a lot of time, but it is unavoidable because hull consist of the sculptured surfaces. This paper presents the mathematical method of the direct fairing to overcome the tediousness of cross fairing. Bi-cubic B-spline surface description was adopted for the representation of the hull surface. The fairing process was executed by minimizing the strain energy in a shell plate. The color-encoded Gaussian curvature and strain energy were visualized on the screen to illustrate the fairness of the surface. The geometric information generated from the faired hull surface model was interfaced with the basic design calculation package and the hull production system.

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Implementation of Stereo Matching Algorithm using GPU (GPU를 이용한 스테레오 정합 알고리즘의 구현)

  • Choi, Hyun-Jun;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.3
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    • pp.583-588
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    • 2011
  • In this paper, we propose an adaptive variable-sized matching window method using the characteristic points of the image and a method to increase the reliability of the cross-consistency check to raise the correctness of the final disparity image. The proposed adaptive variable-sized window method segments the image with the color information, finds the characteristic points inside the window. Also the proposed algorithm implement using a graphic processing unit(GPU). The GPU, we used in this paper is GeForce GTX296 (NVIDIA) and we can use programming based on CUDA. The calculation speed realizes a speed approximately 128 times faster than that of a CPU.

Absorption Spectra and PPP-MO Calculation of Fluorane Dyes (PPP-MO를 이용한 Fluorane계 색소의 흡수 스펙트럼)

  • Kim, Sung Hoon;Hwang, Seok Hwan;Song, Han Chul;Gwon, Tae Sun;Doh, Myung Ki
    • Journal of the Korean Chemical Society
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    • v.40 no.2
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    • pp.122-127
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    • 1996
  • The PPP-MO method has been used to calculate the $\pi$ electronic excitation energy of fluorane dyes. A good correlation between the absorbed and calculated values for the ${\pi}{\rightarrow}\pi*$ transition was found for fluorane dyes. The effect of substituents on the color of fluorane dye was studied on the basis of these calculated results, i.e. HOMO-LUMO energy levels and $\pi-electron-density$ changes accompanying the first excitation.

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Synthesis and Properties of Rhodamine Dye Sensor Material toward detection Response (진단감응 로다민 색소센서재료 합성 및 특성 분석)

  • Kim, Hyung-Joo;Lee, Do-Hyun;Son, Young-A
    • Proceedings of the Korean Society of Dyers and Finishers Conference
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    • 2011.11a
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    • pp.34-34
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    • 2011
  • Recently, people have concerned about environmental pollution. This environmental pollution occur due to many reasons such as heavy metal ions and anions. In this regard, many researchers have studied organic materials to monitor above reasons to protect environmental pollution. One of the organic materials for this function is chemosensor. This chemosensor has been studied and reported about monitoring toxic heavy metal ions and anions. In this study, the dye sensor was designed and synthesized through reaction of Rhodamine 6G and 1,3-Indanedion. this dye sensor selective detected $Hg^{2+}$ metal ions while showing red color absorption and yellowish-green strong fluorescence emission compared to other heavy metal ions such as $Cu^{2+}$, $Hg^{2+}$, $Ag^{2+}$, $Zn^{2+}$, $Fe^{2+}$ and $Fe^{3+}$. In this regard, we anticipated that this dye senosr can provide an significant material for monitoring mercury which cause environmental pollution. Thus, We investigated detailed properties of this dye sesnor with using UV-Vis absorption and fluorescent spectrophotometer, Job's plot method for metal binding complex, computational simulated calculation named Material Studio 4.3 suite to approach for electron distribution and HOMO/LUMO.

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Object Extraction and Tracking out of Color Image in Real-Time (실시간 칼라영상에서 객체추출 및 추적)

  • Choi, Nae-Won;Oh, Hae-Seok
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.81-86
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    • 2003
  • In this paper, we propose the tracking method of moving object which use extracted object by difference between background image and target image in fixed domain. As a extraction method of object, calculate not pixel of full image but predefined some edge pixel of image to get a position of new object. Since the center area Is excluded from calculation, the extraction time is efficiently reduced. To extract object in the predefined area, get a starting point in advance and then extract size of width and height of object. Central coordinate is used to track moved object.

Classification of Livestock Diseases Using GLCM and Artificial Neural Networks

  • Choi, Dong-Oun;Huan, Meng;Kang, Yun-Jeong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.173-180
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    • 2022
  • In the naked eye observation, the health of livestock can be controlled by the range of activity, temperature, pulse, cough, snot, eye excrement, ears and feces. In order to confirm the health of livestock, this paper uses calf face image data to classify the health status by image shape, color and texture. A series of images that have been processed in advance and can judge the health status of calves were used in the study, including 177 images of normal calves and 130 images of abnormal calves. We used GLCM calculation and Convolutional Neural Networks to extract 6 texture attributes of GLCM from the dataset containing the health status of calves by detecting the image of calves and learning the composite image of Convolutional Neural Networks. In the research, the classification ability of GLCM-CNN shows a classification rate of 91.3%, and the subsequent research will be further applied to the texture attributes of GLCM. It is hoped that this study can help us master the health status of livestock that cannot be observed by the naked eye.

Axial compression mechanical properties of steel reinforced recycled concrete column exposure to temperatures up to 800℃

  • Chen, Zongping;Liang, Yuhan;Mo, Linlin;Ban, Maogen
    • Steel and Composite Structures
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    • v.41 no.5
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    • pp.731-746
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    • 2021
  • The purpose of this paper is to investigate the axial bearing capacity and residual properties of steel reinforced recycled aggregate concrete (SRC) column after elevated temperature. A total of 48 SRC columns were designed for the static loading test after elevated temperature. The variables include replacement ratios, designed temperature, target duration, thicknesses of cover concrete, steel ratios and stirrup spacing. From this test, the mass loss ratio and stress load-deformation curve were obtained, and the influence of various parameters on residual bearing capacity were analyzed. ABAQUS was used to calculate the temperature field of specimens, and then got temperature damage distribution on the cross-section concrete. It was shown that increasing of the elevated temperatures leaded to the change of concrete color from smoky-gray to grayish brown and results in reducing the bearing capacity of SRC columns. The axial damage and mechanism of SRC columns were similar to those of reinforced natural aggregate concrete columns at the same temperatures. Finally, the calculation method of axial compressive residual bearing capacity of SRC columns recycled concrete columns after high temperature was reported based on the test results and finite element analysis.

Cyanide detection based on natural dyes reaction from blue butterfly pea flowers (Clitoria Ternatea)

  • Chotichayapong, Chatrachatchaya;Kuchaiyaphum, Pusita;Butwong, Nutthaya;Bua-ngern, Worapong
    • Analytical Science and Technology
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    • v.35 no.4
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    • pp.153-160
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    • 2022
  • A green spectrophotometric method for the determination of cyanide has been proposed using, a green reagent, aqueous extract of blue butterfly pea. The test tube was filled with anthocyanin rich extract (pH 6) and cyanide solution. The reaction was kept constant for 10 minutes at room temperature. The reaction mixture changed color from blue to green as the amount of CN-ions increased. The 620 nm peak intensity increased with CN concentration. Therefore, this wavelength was used for all cyanide analyses. The cyanide calibration curve had a linear range of 0.25-1.00, 1.00-4.00, and 4.00-10.00 mg/L, with a satisfactory correlation coefficient of 0.99 and a LOD of 0.57 mg/L. The recovery ranged from 8.33 to 76.94 percent, indicating that this method is inaccurate at low cyanide concentrations. The intra-day and intermediate precision relative deviations were 0.391-0.871 % and 1.112-1.583 %. An H-bond forms between the C-4 group of the B-carbonyl ring and the HCN molecule according to the B3LYP/TZVP calculation. The method is convenient for cyanide concentrations above the LOQ of 1.09 mg/L, cost-effective, and capable of reducing toxic solvents with acceptable precision. The method could also be used to detect total cyanide in biological, environmental, and industrial waste samples.

Image Dehazing Enhancement Algorithm Based on Mean Guided Filtering

  • Weimin Zhou
    • Journal of Information Processing Systems
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    • v.19 no.4
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    • pp.417-426
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    • 2023
  • To improve the effect of image restoration and solve the image detail loss, an image dehazing enhancement algorithm based on mean guided filtering is proposed. The superpixel calculation method is used to pre-segment the original foggy image to obtain different sub-regions. The Ncut algorithm is used to segment the original image, and it outputs the segmented image until there is no more region merging in the image. By means of the mean-guided filtering method, the minimum value is selected as the value of the current pixel point in the local small block of the dark image, and the dark primary color image is obtained, and its transmittance is calculated to obtain the image edge detection result. According to the prior law of dark channel, a classic image dehazing enhancement model is established, and the model is combined with a median filter with low computational complexity to denoise the image in real time and maintain the jump of the mutation area to achieve image dehazing enhancement. The experimental results show that the image dehazing and enhancement effect of the proposed algorithm has obvious advantages, can retain a large amount of image detail information, and the values of information entropy, peak signal-to-noise ratio, and structural similarity are high. The research innovatively combines a variety of methods to achieve image dehazing and improve the quality effect. Through segmentation, filtering, denoising and other operations, the image quality is effectively improved, which provides an important reference for the improvement of image processing technology.

Development of GIS for the Food Chain Assessment around Kori Nuclear Power Plant Using ArcView (ArcView를 이용한 고리 원전 주변 육상생태계 평가를 위한 GIS 구축)

  • Kang, H.S.;Choi, H.J.;Yu, D.H.;Keum, D.K.;Choi, Y.H.;Lim, K.M.;Lee, H.S.;Lee, C.W.
    • Journal of Radiation Protection and Research
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    • v.30 no.3
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    • pp.121-130
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    • 2005
  • Geographical Information System(GIS) was established to display the calculation results which show the concentration change with time and regions in case of an accidental release of radionuclides from Kori Nuclear Power Plants. GIS included the commercial program, ArcView(ESRI), and a basic digital map of 1:5000 scale lot 20km by 20km around Kori area. The object for the presentation was $^{131}I$ concentration in rice which is one of staple foodstuffs. Provided by deposited $^{131}I$ concentrations, ECOREA-II code computed the $^{131}I$ concentration of the soil and the plant in the area divided by In unit cells in total, in which the concentrations also varied with time. The results were introduced into the attributed data of previously designed polygon cells in ArcView. In order to display the concentration change with time by monotonic color, the RGB value for ArcView color lamp was controlled. This display definitely helped the concentration change around Kori area be acceptable to public.