• Journal of the Semiconductor & Display Technology
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• v.6 no.4
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• pp.53-57
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• 2007

In paper, We evaluated for various diode type ESD protection device using TLP measurement method. An Evaluation diode is divided to Enclosed type and Stripe type as pattern style in extensive. These diodes is split up followed factor that Anode-to-Cathod space, N+ region width, Multi type and Contact to Active space. After a TLP measurement, we can be got the Vt2, It2 by I-V characteristic values. In the results, diode of enclosed type is present relatively higher Current capability(It2) than stripe type in a same voltage conditions. And the Second-breakdown voltage(Vt2) were that Stripe type's diode higher than Enclosed type's diode as have $14{\sim}15V$. Finally we suggest the best diode design condition as ESD protection device using entire consequence.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.70-81
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• 2001

This paper presents a 3D face modeling method using a CCD camera and a projector (LCD projector or Slide projector). The camera faces the human face and the projector casts white stripe patterns on the human face. The 3D shape of the face is extracted from spatial and temporal locations of the white stripe patterns on a series of image frames. The proposed method employs region segmentation and multi-beam techniques for efficient 3D modeling of hair region and faster 3D scanning respectively. In the proposed method, each image is segmented into face, hair, and shadow regions, which are independently processed to obtain the optimum results for each region. The multi-beam method， which uses a number of equally spaced stripe patterns, reduces the total number of image frames and consequently the overall data acquisition time. Light beam calibration is adopted for efficient light plane measurement, which is not influenced by the direction (vertical or horizontal) of the stripe patterns. Experimental results show that the proposed method provides a favorable 3D face modeling results, including the hair region.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.3
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• pp.183-188
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• 2010

In this paper we propose a detection method of the medial axis of the continuous stripes on the LoG scale-space. Our method detects the medial axis of continuous stripes iteratively by varying the scale of LoG operator. Small-scale LoG operator detects two +/- pole pairs centered on the edge positions of stripe by the zero-crossing detection. The more increase the scale of LoG scale-space, the more close two poles to the medial axis of stripe. The medial axis of continuous stripe is the position where two poles is overlapped. The proposed method detected robustly the medial axis of continuous stripes stronger than the thinning methods used to binary image.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.178-190
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• 2015

The purpose of this study is to analyze the formative characteristics of animal stripes based on the colors, shapes and texture through classification standards under functional meanings, and it also aims to produce various stripe patterns based on its outcome to develop modern fashion design. For the study method, specialty publications, preceding researches and internet websites were utilized for the purpose of theoretical discussion on animal stripes. And it is also to examine functional meanings formed by animal stripes in order to analyze the characteristics of stripes; subsequently, based on the classification standard of this function, it is to identify the distinction of its colors through quantitative analysis on formative characteristics and colors. By using the following analyzed color palette of stripes, various stripe patterns were developed and designed with the sense of modern fashion while repeatedly using the shape with systematic colors and rhythms displayed on the animals. As a result of this study, it was confirmed that animal stripes possess a regularity that is systematic and can be digitized. After identifying, analyzing and systemizing formative characteristics of animal stripes, a concept of division and competition was applied; subsequently, whole new stripe patterns were developed and designed in order to further promote fashion design.

• Journal of the Korean Magnetics Society
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• v.10 no.3
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• pp.143-148
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• 2000

We made MnZn ferrites by conventional ceramic processing method and observed magnetic domain structures by Bitter method. The Bitter method revealed that the domain structure of the surface is stripe-like. When a magnetic field was applied, the domain wall motion was observed during the initial magnetization process and the irregular motion of domain wall or domain rotation was observed near the saturation magnetic field (90∼120 Oe).

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.24 no.4
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• pp.145-150
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• 2014

GaN nanorods were grown on the apex of GaN stripes by three dimensional selective growth method. $SiO_2$ mask was partially removed only on the apex area of the GaN stripes by an optimized photolithography for the selective growth. Metallic Au was deposited only on the apex of the GaN stripes and a selective growth of GaN nanorods was followed by a metal organic vapor phase epitaxy (MOVPE). We confirmed that the shape and size of the GaN nanorods depend on growth temperature and flow rates of group III precursor. GaN nanorods were grown having a taper shape which have sharp tip and triangle-shaped cross section. From the TEM result, we confirmed that threading dislocations were rarely observed in GaN nanorods because of the very small contact area for the selective growth. Stacking faults which might be originated from a difference of the crystal facet directions between the GaN stripe and the GaN nanorods were observed in the center area of the GaN nanorods.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.40-43
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• 1997

This paper presents a 3D object recognition method for generation of 3D environmental map or obstacle recognition of mobile robots. An active light source projects a stripe pattern of light onto the object surface, while the camera observes the projected pattern from its offset point. The system consists of a laser unit and a camera on a pan/tilt device. The line segment in 2D camera image implies an object surface plane. The scaling, filtering, edge extraction, object extraction and line thinning are used for the enhancement of the light stripe image. We can get faithful depth informations of the object surface from the line segment interpretation. The performance of the proposed method has demonstrated in detail through the experiments for varies type objects. Experimental results show that the method has a good position accuracy, effectively eliminates optical noises in the image, greatly reduces memory requirement, and also greatly cut down the image processing time for the 3D object recognition compared to the conventional object recognition.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2128-2131
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• 2003

We present an efficient algorithm for skew correction of business card images obtained by a PDA camera. The proposed method is composed of four parts: block adaptive binarization (BAB), stripe generation, skew angle calculation, and image rotation. In the BAB, an input image is binarized block by block so as to lessen the effects of irregular illumination and shadows over the input image. In the stripe generation, character string clusters are generated merging character strings and their inter-spaces, and then only clusters useful for skew angle calculation are output as stripes. In the skew angle calculation, the direction angles of the stripes are calculated using their central moments and then the skew angle of the input image is determined averaging the direction angles. In the image rotation, the input image is rotated by the skew angle. Experimental results shows that the proposed method yields correction rates of 97％ for business card images.

• Journal of Welding and Joining
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• v.17 no.2
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• pp.53-60
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• 1999

Conventionally, CCD camera and vision sensor using the projected pattern of light is generally used to inspect the weld bead defects. But with this method, a lot of time is needed for image preprocessing, stripe extraction and thinning, etc. In this study, laser vision sensor using the scanning beam of light is used to shorten the time required for image preprocessing. The software for deciding whether the weld bead is in proper shape or not in real time is developed. The criteria are based upon the classification of imperfections in metallic fusion welds(ISO 6520) and limits for imperfections(ISO 5817).

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.4
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• pp.348-352
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• 2008

Deformation of the shadow mask is one of the problems encountered during the deposition of organic materials for manufacturing large size organic light emitting diode (OLED). The larger the glass substrate, the larger the shadow mask becomes. As the size of the shadow mask increases, its deformation becomes more severe, thereby making it difficult to deposit organic materials in a precise pattern on a substrate. In this paper, a new method for reducing drooping of the shadow mask for large size OLED vapor depositions is proposed. The proposed shadow mask with cross stripe wires has higher stiffness than the pure shadow mask, which results in reducing drooping of the shadow mask. A commercial FEM program, ANSYS, is used for the evaluation of the proposed shadow mask. The analysis showed that the shadow mask with cross stripe wires have an effect on reducing drooping about 18.6% or more.