• Journal of Fashion Business
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• v.15 no.5
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• pp.87-102
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• 2011

The research intends to exploit a strategy method of personal branding improving a personal value for construction of a personal image. As an assessment, the model of construction strategy of personal branding is developed in four steps of a model, construction of personal branding, by using elements of personal image and researching about personal branding strategy of scholars. In order to substantiate a validity of presented model, the case analyses of Martha Stewart. The strategy of four steps for construction of effective personal image is explained below. First step is an analysis of personal brand equity, deciding a direction of the concept of a personal branding through analyzing into a core value and core competence of one. Second step is a personal brand identity, constructing personal specification and identity with elements of personal image by using effective strategy, being able to be perceived to population. Third step is a personal brand positioning, constructing competitive brand image by using analysis of SWOT and strategy STP. Fourth step is a promotion of personal brand, advertising and extending a brand image of one by using a public activity and communication methods such as publication, mass media, and social network. By using the four kinds of processes, constructed strategy of a personal brand will be significant for construction of an effective personal image by having increment of a value and power of the brand.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.333-336
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• 2001

This paper describes the design and implementation results of 40, 32, 24 and 16kbps ADPCM encoder and decoder circuit, based on the protocol CCITT G.726. We verified the ADPCM algorithm using C language and designed the RTL circuit with Verilog HDL. The circuit has been simulated by Verilog-XL, synthesized by Design Compiler and verified using Xilinx FPGA. Since the synthesized circuit includes a small number of gates, it is expected to be used as a core module in the digital voice and image processing SOC.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.792-801
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• 1996

A thinning algorithm -based image analysis technique was developed to measure corn root lengths. The root length measurement method was evaluated by comparing thread lengths measured by the image analysis system with actual thread lengths. The length measurement method accurately estimated actual thread lengths (less than 2% calculated error). Also, a rapid root length density measurement procedure, which utilizes the above root length measurement method, was developed to estimate corn root length density without washing the roots. Root length densities estimated from the cut soil surface of core samples taken from the field were paired with the root length densities determined from washed roots from the same soil core sample. A linear relationship between these two values was expected and was found. Eliminating the root washing procedure reduces the time required for measuring corn root length density substantially.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.3
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• pp.233-241
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• 2014

This paper contributes to development of a new method for detecting rear-side vehicles and estimating the positions for blind spot region or providing the lane change information by using vision systems. Because the real image acquired during car driving has a lot of information including the target vehicle and background image as well as the noises such as lighting and shading, it is hard to extract only the target vehicle against the background image with satisfied robustness. In this paper, the target vehicle has been detected by repetitive image processing such as sobel and morphological operations and a Kalman filter has been also designed to cancel the background image and prevent the misreading of the target image. The proposed method can get faster image processing and more robustness rather than the previous researches. Various experiments were performed on the highway driving situations to evaluate the performance of the proposed algorithm.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.1
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• pp.50-55
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• 2012

This paper proposes an optima] many-core processor architecture that meets the requirements of low power and high performance for different ultrasonic image resolutions in hand-held ultrasonic devices. To identify the optimal many-core architecture, seven different PE configurations are simulated for processing ultrasonic images in terms of execution performance and energy consumption. Experimental results indicate that the highest energy efficiencies are achieved at PEs=1,024, 64, and 256 for ultrasonic images at $256{\times}256$, $320{\times}240$, and $800{\times}480$ resolutions, respectively. In addition, the maximum area efficiencies are obtained at PEs=256 (for $256{\times}256$ and $800{\times}480$ image resolutions) and 64 (for $320{\times}240$ image resolution).

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1056-1069
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• 2021

This study is a similar experimental study before and after the inequality control group to investigate the effect of PETTLEP model-based image training on fundamental nursing practice education on the confidence and competence ability of core basic nursing skills, and participation in autonomous practice. Data were collected by randomly assigning 74 students who understood the purpose of the study and voluntarily agreed to participate in the study among second-year students of the Department of Nursing at U University located in K Province, randomly assigned to an experimental group and a control group. For the collected data, frequency and percentage were used for general characteristics of subjects using SPSS Statistics 23.0 program, skewness and kurtosis were used for normality test, and the dependent variable test for measuring the effect of experimental treatment was analyzed by paired t-test. As a result of the study, PETTLEP model-based image training showed confidence in core basic nursing skills(t=4.18, p<.001) and competence (knowledge(t=2.241, p=.032), nursing skills(t=8.402, p<.001)), there were statistically significant differences in self-practice participation(t=6.822, p<.001). Based on the results of this study, the PETTLEP model-based image training provided Based on the results of this study, it was confirmed that PETTLEP model-based image training can be a teaching and learning method applicable to basic nursing education. In addition, PETTLEP model-based image training is expected to be utilized as a learning method to improve the competence of core basic nursing skills, which are recognized as difficult due to their high level of difficulty.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.999-1002
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• 2013

There are numerous image processing systems these are usually depend on high performance processors. However, systems using high performance processors might not be proper to mobile applications or low-power systems. Therefore, more efficient methodology for image processing is required for variable applications. This paper proposed pre-processing method using intra prediction concept in order to reduce processing range in a image picture(frame) and entire processing time. Also, the system configuration based on intra prediction hardware core and implementation result of the hardware core are presented in this paper.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.85-90
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• 2022

In this study, to reduce the time and cost disadvantages of the traditional motion graphic production method in order to realize the movement of a virtual camera identical to that of the real camera, motion graphics virtualization using AR Core-based mobile device real-time tracking data A method for creating a camera is proposed. The proposed method is a method that simplifies the tracking operation in the video file stored after shooting, and simultaneously proceeds with shooting on an AR Core-based mobile device to determine whether or not tracking is successful in the shooting stage. As a result of the experiment, there was no difference in the motion graphic result image compared to the conventional method, but the time of 6 minutes and 10 seconds was consumed based on the 300frame image, whereas the proposed method has very high time efficiency because this step can be omitted. At a time when interest in image production using virtual augmented reality and various studies are underway, this study will be utilized in virtual camera creation and match moving.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.15-35
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• 2001

This paper suggests metadata as an effective search tool suitable for moving images on the web. Dublin Core, a leading metagata sceme of web resources, and MPEG-7, a coming international standard developed by MPEG, are used to construct a hybrid metadata scheme. RDF is selected as a framework for a matadata description and Moving Image Core was developed as a RDF schema. Finally, RDF/XML encoded metadata of moving images are retrieved throuth web-based database system using ASP technology.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.421-436
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• 2012

Different types of fingerprint detection algorithms that are based on extraction of minutiae points are prevalent in recent literature. In this paper, we propose a new algorithm to locate the virtual core point/centroid of an image. The Euclidean distance between the virtual core point and the minutiae points is taken as a random variable. The mean, variance, skewness, and kurtosis of the random variable are taken as the statistical parameters of the image to observe the similarities or dissimilarities among fingerprints from the same or different persons. Finally, we verified our observations with a moment parameter-based analysis of some previous works.