• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.429-442
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• 2003

In this paper, we describe an address image recognition system for automatic processing of standard- size letter mail. The inputs to the system are gray-level mail piece images and the outputs are delivery point codes with which a delivery sequence of carrier can be generated. The system includes five main modules; destination address block location, text line separation, character segmentation, character recognition and finally address interpretation. The destination address block is extracted on the basis of experimental knowledge and the line separation and character segmentation is done through the analysis of connected components and vortical runs. For recognizing characters, we developed MLP-based recognizers and dynamical programming technique for interpretation. Since each module has been implemented in an independent way, the system has a benefit that the optimization of each module is relatively easy. We have done the experiment with live mail piece images directly sampled from mail sorting machine in Yuseong post office. The experimental results prove the feasibility of our system.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.401-408
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• 2018

In the past years, the influx of Korean tourists to international destinations has seen a significant rise, especially in non-Asian countries. However, Mexico is still far from a popular destination to the average Korean tourist. Using Keller's brand equity model, this paper researches Koreans' opinions and general brand image of Mexico in an attempt to identify both the positive and negative perceptions they have of this country. Keller's brand model analyses four different levels of engagement between the customers and the brand. We want to know the degree to which Koreans have been engaged in Mexico as a brand nation and as a tourist destination. Research findings through this study will reveal the needs and insights that offer opportunities relevant for the planning, creation, design and development of new approaches for Mexico's nation brand promotion.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.16 no.2
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• pp.57-78
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• 2005

This study is concerned with the factors of choice properties of leasure tourism. The seven factors of choice properties can be identified. They are tourism convenience, tourism service, tourism characteristics, tourism image and tourism famousness. The choice properties of leisure tourism become significant depending upon population size and use type characteristics. Furthermore, tourism service, tourism image and tourism famousness need to be enforced strategically because the choice properties are largely influenced by revisits, mouth-to-mouth effects, satisfaction, etc. In conclusion, this study found that the choice properties determine the preference and purchasing activities in choosing leisure tourism destination. In addition, this study provides leisure tourism oriented marketing information to tourism business enterprises so that they can perceive major factors affecting to the choice properties.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.10
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• pp.1161-1174
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• 2011

An approach method of the semiotics theory is analyzing fashion: the look is that a sign represents one character and the image is interpreted as the destination of the changes. The fashion image interpretation by semiotics is possible because the fashion phenomenon by society has been accumulated in their abbreviation code. It is not possible to produce contradictions of the human imagination coined solution. The myth relieved to people, allowanced a meaning in the world and explained it have been unable to explain and protect us. Today's role of the world myth becomes the star's future. Public resting star's fashion image analysis promote that we understand the inherent desire. Madonna probably is one of the world's most famous women. To Create Madonna's own mythology staged image in various attire reveals symbolism. In this study, Madonna's fashion images, the myth 8 analysis of semiotics represent publicity. Madonna's album jacket 8 analysis of the myth. The fit and the relationship between the star and myths closely is obvious. The Madonna fashion image investigate that so forth implied myth into duality of feminine, upset of gender roles, upset of sexual roles, object of worship. In addition to the creation of these myths are based on sensuality heterosexual fashion images, body-conscious look, lingerie look, Androgynous Look, Dominatrix Look in the fashion style of the images, fashion items made to body suit, bra top, black panties, black boots, long gloves, pink, red, gold, satin, and leather; the addition, there are exaggerated props and accessories. These use such as the human body building wave blond hair. This study through Madonna's fashion image, semiotics analysis is acquainted with suitable means of myth.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.15 no.4
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• pp.53-63
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• 2007

This paper examines the safety perception of passengers on low cost carriers which has made several accidents and incidents at the early stage of their business. The concept of low cost carrier is becoming more important to airline industry in Korea. This study achieves the first selecting attribute among airline service factors on domestic flights and try to indicate that how much the passengers trust in the safety of low cost carriers. It is also sets the comparative safety awareness between low cost carriers and two full service national carriers in domestic market. The safety perception of aircraft type can be a major factor for LCC choice in Korea due to frequent accidents and incidents for last two years. More than 60% of LCC passengers have increasingly considered the safety after recent accidents. The low cost airlines' images of the passengers showed that the first image of the LCC was the fare and the second image was safety. This study indicates that most of the LCC travelers will use the international low cost airlines when LCC extend their destination to adjacent countries. For the accomplishment of the low cost carriers' competitiveness in domestic market, they have to try to get rid of bad image for safety and pay extra attention to find out better services other than the safety and develop other strategies to compete against existing full service carriers.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.312-321
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• 2003

In this paper, we implement robot which are ability to recognize obstacles and moving automatically to destination. we present two results in this paper; hardware implementation of image processing board and software implementation of visual feedback algorithm for a self-controlled robot. In the first part, the mobile robot depends on commands from a control board which is doing image processing part. We have studied the self controlled mobile robot system equipped with a CCD camera for a long time. This robot system consists of a image processing board implemented with DSPs, a stepping motor, a CCD camera. We will propose an algorithm in which commands are delivered for the robot to move in the planned path. The distance that the robot is supposed to move is calculated on the basis of the absolute coordinate and the coordinate of the target spot. And the image signal acquired by the CCD camera mounted on the robot is captured at every sampling time in order for the robot to automatically avoid the obstacle and finally to reach the destination. The image processing board consists of DSP (TMS320VC33), ADV611, SAA7111, ADV7l76A, CPLD(EPM7256ATC144), and SRAM memories. In the second part, the visual feedback control has two types of vision algorithms: obstacle avoidance and path planning. The first algorithm is cell, part of the image divided by blob analysis. We will do image preprocessing to improve the input image. This image preprocessing consists of filtering, edge detection, NOR converting, and threshold-ing. This major image processing includes labeling, segmentation, and pixel density calculation. In the second algorithm, after an image frame went through preprocessing (edge detection, converting, thresholding), the histogram is measured vertically (the y-axis direction). Then, the binary histogram of the image shows waveforms with only black and white variations. Here we use the fact that since obstacles appear as sectional diagrams as if they were walls, there is no variation in the histogram. The intensities of the line histogram are measured as vertically at intervals of 20 pixels. So, we can find uniform and nonuniform regions of the waveforms and define the period of uniform waveforms as an obstacle region. We can see that the algorithm is very useful for the robot to move avoiding obstacles.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.868-871
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• 2016

Recently, Unmanned vehicle and Wearable Technology using iot research is being carried out. The unmanned vehicle is the result of it technology. Robots, autonomous navigation vehicle and obstacle avoidance, data communications, power, and image processing, technology integration of a unmanned vehicle or an unmanned robot. The final goal of the unmanned vehicle manual not autonomous by destination safely and quickly reaching. This paper managed to cover One of the key skills of unmanned vehicle is to image processing. Currently battery technology of unmanned vehicle can drive for up to 1 hours. Therefore, we use the Raspberry Pi 3 to reduce power consumption to a minimum. Using the Raspberry Pi 3 and to develop an image recognition system. The goal is to propose a system that recognizes all the objects in the image received from the camera.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.143-151
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• 2021

The enormous prevalence of transferring official confidential digital documents via the Internet shows the urgent need to deliver confidential messages to the recipient without letting any unauthorized person to know contents of the secret messages or detect there existence . Several Steganography techniques such as the least significant Bit (LSB), Secure Cover Selection (SCS), Discrete Cosine Transform (DCT) and Palette Based (PB) were applied to prevent any intruder from analyzing and getting the secret transferred message. The utilized steganography methods should defiance the challenges of Steganalysis techniques in term of analysis and detection. This paper presents a novel and robust framework for color image steganography that combines Linear Congruential Generator (LCG), simulated annealing (SA), Cesar cryptography and LSB substitution method in one system in order to reduce the objection of Steganalysis and deliver data securely to their destination. SA with the support of LCG finds out the optimal minimum sniffing path inside a cover color image (RGB) then the confidential message will be encrypt and embedded within the RGB image path as a host medium by using Cesar and LSB procedures. Embedding and extraction processes of secret message require a common knowledge between sender and receiver; that knowledge are represented by SA initialization parameters, LCG seed, Cesar key agreement and secret message length. Steganalysis intruder will not understand or detect the secret message inside the host image without the correct knowledge about the manipulation process. The constructed system satisfies the main requirements of image steganography in term of robustness against confidential message extraction, high quality visual appearance, little mean square error (MSE) and high peak signal noise ratio (PSNR).

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.283-290
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• 2023

This study investigates the influential factors on online word-of-mouth (eWOM) intentions towards educational tourist destinations, primarily focusing on Korean universities and Chinese tourists. It reveals a positive correlation between eWOM intentions and the desire to enroll in these institutions. The significance of eWOM for attracting Chinese students elucidates the importance of establishing a strong brand image and ensuring high levels of tourist satisfaction. Moreover, social media users who travel for education purposes were found to emphasize self-image consistency and conspicuous self-expression. This research underscores the utility of leveraging social media to enhance the perception of educational tourist attractions, promoting these destinations, and stimulating eWOM, thereby enriching the understanding of the strategic use of social media in international student recruitment.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.257-271
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• 2024

Purpose - This study examined the relationship between local attachment, prior knowledge and involvement in the festival, and local image, attitudes toward and support for the festival among people who have visited the Incheon Pentaport Music Festival, the largest music festival in Korea. Design/methodology/approach - A total of 250 samples were used for the final analysis, and SPSS 26.0 and AMOS 21.0 were used to analyze the data. The structural equation model analysis was conducted to test the hypotheses of this study. Findings - As a result of the analysis, first, only local attachment was found to have a positive and significant effect on local image. On the other hand, prior knowledge or involvement in the Incheon Pentaport Music Festival was found to be unrelated to local image. Second, local attachment and involvement were found to have a significant effect on attitude, but prior knowledge was not significant. Last, this paper examined the influence of festival area image and attitude toward the festival on festival support, and found that both have a positive and significant effect on support. Research implications or Originality - This study expands the scope of research on music festivals and is expected to contribute to tourist attraction and marketing strategies for the revitalization of music festivals in the future.