• Proceedings of the KIEE Conference
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• 1992.07b
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• pp.820-824
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• 1992

An accurate method for extracting both Si film doping concentration and front or back silicon-to-oxide fixed charge density of fully depleted SOI devices is proposed. The method utilizes the current-to-voltage and capacitance-to-voltage characteristics of both SOI NMOSFET and PMOSFET which have the same doping concentration. The Si film doping concentration and the front or back silicon-to-oxide fixed charge density are extracted by mainpulating the respective threshold voltages of the SOI NMOSFET and PMOSFET according to the back surface condition (accumulation or inversion) and the capacitance-to-voltage characteristics of the SOI PMOSFET. Device simulations show that the proposed method has less than 10% errors for wide variations of the film doping concentration and the front or the back silicon-to-oxide fixed charge density.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.218-222
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• 2003

A technology that recognize the car license plate have accomplished a lot of developments for latest several years. Key technology for correct recognition is correct abstraction of plate area. Existent studies have used horizontal/vertical edge, some geometrical characteristics of license plate, and the color information. But, in case of extracting a plate using above characteristics, correct extraction of a license plate inclined by sight which see license plate is difficult. Therefore, this paper is propose new method that correctly extract license plate using the color information and linear regression method.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.125-134
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• 2010

The purpose of this study was to analyze the characteristics and images of colors in the stewardess's uniforms. For this study, 530 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed into H V/C and the attributes of colors and tones were analyzed. The color images were analyzed with the color image scales of IRI and Shigenobu Kobayashi. As a results, purple-blue(21.7%), neutral(20.9%), red(17.9%) and yellow(10.8%) were found to be the most frequently used colors. In the tone analysis, vivid tone(18.7%) occupied high frequency and the next orders were white(17.4%), dark grayish(12.8%), light(8.5%), dark(8.1%). The color images were focused on dynamic, modern, casual, gorgeous, classic, elegance images in the color image scales of IRI and Kobayashi.

• Journal of the Korean Applied Science and Technology
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• v.26 no.3
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• pp.248-262
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• 2009

This study is on the feasibility of use of glycoprotein in various areas such as cosmetics and food etc. by extracting, isolating and refining glycoprotein from carrots, red ginseng extract residue, sesame and pine needles using protease(pepsin) and by analyzing general characteristics and measuring various bioactivities. The results of analysis of nutritional composition showed protein contents of glycoprotein. In the analysis of constitutive amino acids, the ratio of contents of hydroxy proline and glycine, the characteristics of glycoproteins appeared similar and the contents of glutamic acid and aspartic acid appeared higher. As a result of measurement contents of total polyphenol and flavonoid, it showed that glycoprotein had more contents generally, and the effect of bioactivity of glycoprotein appeared higher although different kinds of glycoprotein showed a little DPPH radical and nitrite scavenging ability, total antioxidant capacity by ABTS, ACE inhibitory.

• Journal of Korean Society of Rural Planning
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• v.16 no.4
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• pp.33-43
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• 2010

Amenity landscapes in rural areas are becoming increasingly important as a resources to vitalize the rural areas. Befitting the times, The objectives of this study were 1) Extracting Landscape Evaluation photos: research preferences of 93 Photos taken from 15 site and analyze the possibility of Classification. select 12 photos for Image survey. 2)Adjectives select: Preliminary investigation into the 45 selected adjectives and adjectives by taking expert group of 21 adjectives were selected. Through reliability analysis, 19 adjective pairs were used to survey and factor analysis of images of landscape photographs. 3)Psychological characteristics of agricultural landscape survey and analysis: Psychological research on landscape photos and factor analysis, the agricultural production landscape to explain the 4 factors were extracted. And, each factor was discussed in relation to agricultural landscape.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.84-89
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• 2014

Data-driven method for fault diagnostics system often use machine learning technique. To use such technique proper signal processing should be implemented such as time synchronous averaging (TSA) for ball bearing systems. However, for journal bearing diagnostics systems not much has been researched, and yet a proper signal processing method has not been studied. Therefore, in this research an optimal datum unit for a reliable journal bearing diagnostics system along with angular resampling process is being suggested. Before extracting time and frequency domain features, angular resampling is applied to each cycle of vibration data. As to preserve the characteristics of vibration signal, averaging method is replaced by finding the optimal datum unit which strengthens statistical characteristics of vibration signal. Then 20 features were extracted for various cases, and those features are being evaluated by two criteria, separability and classification accuracy.

• ETRI Journal
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• v.33 no.4
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• pp.547-557
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• 2011

This study presents an approach for extracting boundaries of various buildings, which have concave boundaries, inner yards, non-right-angled corners, and nonlinear edges. The approach comprises four steps: building point segmentation, boundary tracing, boundary grouping, and regularization. In the second and third steps, conventional algorithms are improved for more accurate boundary extraction, and in the final step, a new algorithm is presented to extract nonlinear edges. The unique characteristics of airborne light detection and ranging (LIDAR) data are considered in some steps. The performance and practicality of the presented algorithm were evaluated for buildings of various shapes, and the average omission and commission error of building polygon areas were 0.038 and 0.033, respectively.

• Journal of information and communication convergence engineering
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• v.11 no.3
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• pp.216-222
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• 2013

It is known that blood circulation in human body causes the skin tone to change concurrently with heartbeats. A number of apps have been developed to measure the heartbeat using smartphone camera; however, no any further analysis is performed. In this paper we propose an algorithm that detects heartbeats from the phone's camera and further extracts the heart rate variability (HRV). We compare the HRV extracted from the camera with the HRV extracted from the electrocardiogram. We estimated a number of commonly used HRV characteristics and compared them. Our results show that smartphone camera leads to slightly overestimated characteristics although the difference in extracted HRV signals is negligible. As a consequence we suggest that a smartphone camera can be employed in a quick heart diagnosis and diagnosis of autonomic nervous system.

• Journal of Electrical Engineering and Technology
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• v.11 no.4
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• pp.943-950
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• 2016

In this paper, we propose to analyze the physical characteristics of a planar dual-composite right-left handed transmission line by a common application of Bond Graph approach and Scattering formalism (Methodology S.BG). The technique, we propose consists, on the one hand, of modeling of a dual composite right-left metamaterial transmission line (D-CRLH-TL) by Bond Graph approach, and, it consists of extracting the equivalent circuit of this studied structure. On the other hand, it consists to exploiting the scattering parameters (Scattering matrix) of the DCRLH-TL using the methodology which we previously developed since 2009. Finally, the validation of the proposed and used technique is carried out by comparisons between the simulations results with ADS and Maple (or MatLab).

• Korean Journal of Remote Sensing
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• v.23 no.3
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• pp.199-209
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• 2007

Traditionally, aerial images have been used as main sources for compiling topographic maps. In recent years, lidar data has been exploited as another type of mapping data. Regarding their performances, aerial imagery has the ability to delineate object boundaries but omits much of these boundaries during feature extraction. Lidar provides direct information about heights of object surfaces but have limitations with respect to boundary localization. Considering the characteristics of the sensors, this paper proposes an approach to extracting buildings from lidar and aerial imagery, which is based on the complementary characteristics of optical and range sensors. For detecting building regions, relationships among elevation contours are represented into directional graphs and searched for the contours corresponding to external boundaries of buildings. For generating building models, a wing model is proposed to assemble roof surface patches into a complete building model. Then, building models are projected and checked with features in aerial images. Experimental results show that the proposed approach provides an efficient and accurate way to extract building models.