• Title/Summary/Keyword: Threshold area

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On The Creep Threshold Stress in Secondary Recrystallized ODS MA NiAl (이차 재결정화된 기계적 합금화 ODS NiAl의 creep threshold stress에 관한 고찰)

  • 어순철
    • Journal of Powder Materials
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    • v.5 no.2
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    • pp.122-128
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    • 1998
  • NiAl based ODS (Oxide Dispersion Strengthened) intermetallic alloys have been produced by mechanical alloying (MA) process and consolidated by hot extrusion. Subsequent thermomechanical treatments have been applied to induce secondary recrystallization in an attempt to improve creep resistance in this material. The creep behavior of secondary recrystallized MA NiAl has been investigated and compared with those of as-extruded condition. Minimum creep rate were shown to be approximately two orders of magnitude lower than that in as-extruded condition. The improvement in creep resistance is believed due to the grain coarsening, restricting of dispersoid coarsening as well as increase in grain aspect ratio. Creep threshold stress behavior, below which no measurable creep rate can be detected, has been discussed on the basis of particle-dislocation interaction theory. The threshold stress becomes negligible after secondary recrystallization in MA NiAl, presumably due to dispersoid coarsening and a decrease in grain boundary area during secondary recrystallization.

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Motion Vector Estimation using an Adaptive Threshold (적응형 임계값을 이용한 움직임 벡터 예측 방법)

  • Kim, Jin-Wook;Park, Tae-Geun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.6 s.312
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    • pp.57-64
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    • 2006
  • Motion estimation plays an important role for the compression of video signals. The proposed method utilizes an adaptive threshold and characteristics of a distribution of SAD (sum of absolute difference). Generally, the more complex the SAD distribution is, the larger SAD value tends to be. This proposed algorithm tries to reduce the search points in a simple distribution but increase them in a complex distribution to avoid local minima. A macro block is divided into 9 areas. One of them chosen using spatio-temporal correlation is called the primary area and the others are called the secondary area that will be searched to avoid local minima. The proposed algorithm decides if just one area (the primary area or the secondary area) will be enough to be searched or both areas should be searched, using adaptive threshold. Compared with famous motion estimation algorithms, the simulation result shows that the searching points per macro block and MSE decreases about 16.4% and 32.83 respectively on the average.

The Correlation between the Number of Fungiform Papillae and Electrogustometric Thresholds in Adults (젊은 성인에서 심상유두개수와 전기미각역치의 상관성)

  • Han, Dong-Hoon;Park, Ji-Il;Lim, Hoi-Soon;Kim, Jae-Hyung
    • Journal of Oral Medicine and Pain
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    • v.36 no.1
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    • pp.1-10
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    • 2011
  • The aims of this study were to establish the effect of gender and age on number of fungiform papillae and electrogustometric thresholds of the tongue, and to determine the relation between number of fungiform papillae and electrogustometric threshold. Sixty-two healthy subjects of 20 to 39 years old were enrolled in this study. Examination areas were defined as center, anterior, left lateral, right lateral, and posterior on the dorsal surface of the tongue, which was stained with methylene blue dye and photographed with a scale bar on it. The number of fungiform papillae within $1\; cm^2$ square area of each examination site was counted twice. The counted values were averaged to produce means. Taste thresholds were measured three times on each examination area using an electrogustometer. Means of the threshold values were calculated. 1. The number of fungiform papillae was the largest at the anterior examination area, followed by right lateral, left lateral, posterior and central. Women had more fungiform papillae than men at anterior, right lateral, and center areas. Subjects in twenties showed more fungiform papillae than those in thirties at anterior, right lateral, and left lateral areas. 2. Anterior area of the tongue measured the lowest electrogustometric threshold, followed by left lateral, right lateral, posterior and center. The threshold was higher in men at anterior and right lateral areas. The subjects in thirties had higher threshold only at right lateral area than those in twenties. 3. Electrogustometric threshold was inversely correlated with the number of fungiform papillae at anterior and posterior areas. The results showed that the number of fungiform papillae and taste threshold varied according to tongue locus, and they were influenced by age and gender. The results also suggested that the number of fungiform papillae was related to electrogustometric threshold inversely.

Yield Loss Assessment and Economic Thresholds of Squash Powdery Mildew Caused by Sphaerotheca fuliginea (호박 흰가루병의 피해 해석 및 경제적 방제수준 설정)

  • Moon, Youn-Gi;Choi, Jun-Keun;Kang, An-Seok
    • Research in Plant Disease
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    • v.16 no.3
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    • pp.285-289
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    • 2010
  • The experiments were carried out in fields for two years from 2008 to assess yield losses of squash due to powdery mildew caused by Sphaerotheca fuliginea and to determine its economic thresholds. Powdery mildew disease was first observed in late June, about 50 days after field-transplanting, progressed rapidly during late July to early August, and began to reduce from late August. Powdery mildew severity was negatively correlated with squash yields. A positive correlation was observed between fruit weight and % marketable fruits. A simple linear regression model was obtained as Y=-10.399 X + 6607.5 with $R^2$ = 0.9700 when squash yields (Y) was predicted using powdery mildew severity as an independent variable(X). Spray threshold for maximizing squash yields without economic considerations was estimated as 6.5% in terms of leaf lesion area with powdery mildew. Economic threshold and economic spray threshold able to compensate the costs of fungicide sprays were determined as 21.6% and 17.3% in leaf lesion area, respectively.

A Study on the Ultrasonic Inspection Method in High Attenuation Welds using Minimization-Polarity Threshold Algorithm (최소극 문턱치 알고리즘을 이용한 고감쇠 용접부에서 초음파 검사방법에 관한 연구)

  • Koo, Kil-Mo;Park, Chi-Seung;Choi, Jong-Ho;Ko, Duck-Young
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.3
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    • pp.30-36
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    • 2000
  • In this paper, an ultrasonic testing method for inspection of high attenuation welding area using the minimum Polarity threshold algorithm which combines the minimum amplitude selection algorithm and polarity threshold algorithm is suggested to increase the signal to noise ratio of the flow signal. In order to confirm the usefulness of the suggested algorithm, experiments were performed using four probes and standard specimens following the ASME Xl Code. As a result, scattering signals were observed from the SE(safe end) and CCSS (centrifugal casting stainless steel) materials due to the microstructural characteristical, and the detectability was reduced due to the highly attenuated signal from the weldment area, but it was conformed that using the suggested algorithm, the signal to noise ratio increased about 2.6.

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An Illumination and Background-Robust Hand Image Segmentation Method Based on the Dynamic Threshold Values (조명과 배경에 강인한 동적 임계값 기반 손 영상 분할 기법)

  • Na, Min-Young;Kim, Hyun-Jung;Kim, Tae-Young
    • Journal of Korea Multimedia Society
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    • v.14 no.5
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    • pp.607-613
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    • 2011
  • In this paper, we propose a hand image segmentation method using the dynamic threshold values on input images with various lighting and background attributes. First, a moving hand silhouette is extracted using the camera input difference images, Next, based on the R,G,B histogram analysis of the extracted hand silhouette area, the threshold interval for each R, G, and B is calculated on run-time. Finally, the hand area is segmented using the thresholding and then a morphology operation, a connected component analysis and a flood-fill operation are performed for the noise removal. Experimental results on various input images showed that our hand segmentation method provides high level of accuracy and relatively fast stable results without the need of the fixed threshold values. Proposed methods can be used in the user interface of mixed reality applications.

Morphological Feature Extraction of Microorganisms Using Image Processing

  • Kim Hak-Kyeong;Jeong Nam-Su;Kim Sang-Bong;Lee Myung-Suk
    • Fisheries and Aquatic Sciences
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    • v.4 no.1
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    • pp.1-9
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    • 2001
  • This paper describes a procedure extracting feature vector of a target cell more precisely in the case of identifying specified cell. The classification of object type is based on feature vector such as area, complexity, centroid, rotation angle, effective diameter, perimeter, width and height of the object So, the feature vector plays very important role in classifying objects. Because the feature vectors is affected by noises and holes, it is necessary to remove noises contaminated in original image to get feature vector extraction exactly. In this paper, we propose the following method to do to get feature vector extraction exactly. First, by Otsu's optimal threshold selection method and morphological filters such as cleaning, filling and opening filters, we separate objects from background an get rid of isolated particles. After the labeling step by 4-adjacent neighborhood, the labeled image is filtered by the area filter. From this area-filtered image, feature vector such as area, complexity, centroid, rotation angle, effective diameter, the perimeter based on chain code and the width and height based on rotation matrix are extracted. To prove the effectiveness, the proposed method is applied for yeast Zygosaccharomyces rouxn. It is also shown that the experimental results from the proposed method is more efficient in measuring feature vectors than from only Otsu's optimal threshold detection method.

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Estimation or Threshold Runoff on Han River Watershed (한강유역 한강유출량 산정)

  • Kim, Jin-Hoon;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.39 no.2 s.163
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    • pp.151-160
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    • 2006
  • In this study, threshold runoff which is a hydrologic component of flash flood guidance(FFG) is estimated by using Manning's bankfull flow and Geomorphoclimatic Instantaneous Unit Hydrograph(GcIUH) methods on Han River watershed. Geographic Information System(GIS) and 3' Digital Elevation Model database have been used to prepare the basin parameters of a very fine drainage area($1.02\~56.41km^2$), stream length and stream slope for threshold runoff computation. Also, cross-sectional data of basin and stream channel are collected for a statistical analysis of regional regression relationships and then those are used to estimate the stream parameters. The estimated threshold runoff values are ranged from 2 mm/h to 14 mm/6hr on Han River headwater basin with the 1-hour duration values are$97\%$ up to 8mm and the 6-hour values are $98\%$ up to 14mm. The sensitivity analysis shows that threshold runoff is more variative to the stream channel cross-sectional factors such as a stream slope, top width and friction slope than the drainage area. In comparisons between the computed threshold runoffs on this study area and the three other regions in the United States, the computed results on Han River watershed are reasonable.

Determination of threshold values for color image segmentation (색도 영상분할을 위한 문턱치 결정방법)

  • 이병욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.869-875
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    • 1996
  • This paper investigates a method for dtermining a threshold value based on the probability distribution function for color image segmentation. Principal components of normalized color is nalyzed and found that there are effective color transforms for outdoor scents. We esplain the functional relationship of the treshold and the probability of a regiona detection, asuming bivarate Gaussian probability density function. Experimental results show that the probability of detection is proportional to the segmented area.

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Modeling Extreme Values of Ground-Level Ozone Based on Threshold Methods for Markov Chains

  • Seokhoon Yun
    • Communications for Statistical Applications and Methods
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    • v.3 no.2
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    • pp.249-273
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    • 1996
  • This paper reviews and develops several statistical models for extreme values, based on threshold methodology. Extreme values of a time series are modeled in terms of tails which are defined as truncated forms of original variables, and Markov property is imposed on the tails. Tails of the generalized extreme value distribution and a multivariate extreme value distributively, of the tails of the series. These models are then applied to real ozone data series collected in the Chicago area. A major concern is given to detecting any possible trend in the extreme values.

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