• Journal of Digital Convergence
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• v.15 no.3
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• pp.165-173
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• 2017

The purpose of this study was to identify the causal relationship between the brand, the brand equity and brand equity of a tourist destination. The effect of love mark on self identification is that the relationship between love mark performance and self-identification time is significant, and that of love mark is in the order of self identification. Trust mark of love mark has a significant relationship with self identification. The relationship between brand intimacy and brand quality and the relationship between trust and brand quality were significant in relation to the brand mark, but brand mark was not significant. In addition, in the relationship between brand value and love-mark, there is a significant relationship between performance and brand value, relationship between intimacy and brand value, and performance is not significant in brand value. There was a significant relationship between gender and behavioral intention. The relationship between gender identity and behavioral intention was positively related to brand equity.

• Journal of Oral Medicine and Pain
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• v.4 no.1
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• pp.13-21
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• 1979

Cases involving bite marks have increased considerably since first reports of bite wound for the individual identification in Korea 1969. This is probably due to fact that investigating officers are now more aware of the value of bite mark evidence and are always alter to the possibility of sign of bite mark. Authors recently had an experience in the identification of a criminal by tracing marks made on silicon rubber impression from corp genital organ.

• Korean Journal of Remote Sensing
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• v.19 no.1
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• pp.61-70
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• 2003

This paper proposes an autonomous approach to localize the center of fiducial marks included in aerial photographs without precise geometric information and human interactions. For this localization, we present a conceptual model based on two assumptions representing symmetric characteristics of fiducial area and fiducial mark. The model makes it possible to locate exact center of a fiducial mark by checking the symmetric characteristics of pixel value distribution around the mark. The proposed approach is composed of three steps: (a) determining the symmetric center of fiducial area, (b) finding the center of a fiducial mark with unit pixel accuracy, and finally (c) localizing the exact center up to sub-pixel accuracy. The symmetric center of the mark is calculated tv successively applying three geometric filters: simplified ${\nabla}^2$G (Laplacian of Gaussian) filter, symmetry enhancement filter, and high pass filter. By introducing a self-diagnosis function based on the self-similarity measurement, a way of rejecting unreliable cases of center calculation is proposed, as well. The experiments were done with respect to 284 samples of fiducial marks composed of RMK- and RC-style ones extracted from 51 scanned aerial photographs. It was evaluated in the visual inspection that the proposed approach had resulted the erroneous identification with respect to only one mark. Although the proposed approach is based on weak constraints, being free from the exact geometric model of the fiducial marks, experimental results showed that the proposed approach is sufficiently robust and reliable.

• Journal of Korea Multimedia Society
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• v.8 no.11
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• pp.1449-1461
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• 2005

In this paper, we propose a vehicle recognition system based on the classification of vehicle identification mark and recognition of vehicle license plate. In the proposed algorithm, From the input vehicle image, we first simulate preprocessing procedures such as noise reduction, thinning etc., and detect vehicle identification mark and license plate region using the frequency distribution of intensity variation. And then, we classify extracted vehicle candidate region into identification mark, character and number of vehicle by using structural feature informations of vehicle. Lastly, we recognize vehicle informations with recognition of identification mark, character and number of vehicle using hybrid and vertical/horizontal pattern vector method. In the proposed algorithm, we used three properties of vehicle informations such as Independency property, discriminance property and frequency distribution of intensity variation property. In the vehicle images, identification mark is generally independent of the types of vehicle and vehicle identification mark. And also, the license plate region between character and background as well as horizontal/vertical intensity variations are more noticeable than other regions. To show the efficiency of the propofed algorithm, we tested it on 350 vehicle images and found that the propofed method shows good Performance regardless of irregular environment conditions as well as noise, size, and location of vehicles.

• Design Convergence Study
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• v.15 no.3
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• pp.103-116
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• 2016

Social development led to systematic changes in the gender division of housework and the increase of house husbands. Accordingly, the demand for programs on child rearing for fathers is high. This study aimed to present a design for the brand mark and station identification for a TV channel specializing in childcare for house husbands. This study designed a brand mark and an applied brand mark, based on a literary review of previous studies. A survey on the necessity, preference and brand awareness of this channel was conducted twice afterwards, targeting 55 parents who are raising children who are in between the age of 6 months to 37 months. The first survey showed that the parents are in need of childcare-related channels due to their worries and fear towards childcare. When asked about their preferences and brand awareness towards this channel, some respondents were negative towards the form and colors used in the proposed brand mark and applied brand mark. This was reflected in the improved version and was tested in the second survey, which showed that respondents preferred the form that reminded them of children and found it more suitable. In regards to colors, respondents preferred high chroma navy blue.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.482-497
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• 2018

This study would investigate the impacts of coffee shop companies' mecenat activity on identification, corporate image, love mark and loyalty. For sampling, an investigator who visited the coffee shops in person conducted surveys with customers. 800 copies were distributed for 11 days from May 23 through June 2, 2018, and excluding unreliable questionnaires from the collected questionnaires, 711 copies were used in the final analysis. As a result of the analysis, it turned out that the higher social contribution, purity, public interest and preference, the higher identification became. Also, the higher social contribution, public interest and preference, the higher corporate image became. On the other hand, it turned out that purity had a negative (-) impact on the corporate image. It turned out that purity and preference had positive impacts on the love mark, while did not affect social contribution, while public interest had a negative (-) impact on that. It turned out that identification had a positive impact on the corporate image, and identification and corporate image had positive impacts on the love mark. Also, identification, corporate image and love mark had positive impacts on loyalty. It is expected that the above research result would provide practical implications for coffee shop companies' marketing techniques in the future, and further, it is judged that it would play a positive role in the quality of life of consumers who experience coffee shop companies' mecenat activity.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.323-326
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• 2002

In this paper, we propose a watermarking technique that it is possible to winnow illegal contents from scattered contents on the internet. The identification is performed using an embedded unique content ID by the watermarking technique. The proposed watermarking technique accepts A/D-D/A conversion and a lot of lossy compression such as MP3, AAC, WMA and Real Audio. Watermark robustness is enabled using group quantization, selecting watermark inserting point, and error correction code. Test results show that the correct extraction is about $90\%$ and SNR is above $50\~60dB$. The above figures means that the proposed technique is able to extract encoded information at least one more times per audio and that it is very difficult to discriminate between a watermarked audio and a original audio.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.84-93
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• 2015

This study is for the development of Cover Glass Grinding Processing System. This system is developed for manufacturing a mass product system grinding cover glasses with highly precise mechanism, and we improved resulted quality. In the development process, we developed a complete process technology through mechanical design, image processing technology, spindle control, mark identification algorithm etc. With this cover glass grinding development, we could developed process technology, image processing technology, organization mechanisms and control algorithms.

• Journal of Oral Medicine and Pain
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• v.9 no.1
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• pp.157-167
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• 1984

A human bite-mark shows special feature according to the suspect's dentition. The teeth which most frequently give useful bite-marks are six upper and lower anteriors, while the premolar teeth somtimes give marks it is often difficult to distinguish. The author tried to classify and to analize the anterior dentition which makes the bite-mark directly by means of 672 maxillary and 691 mandibular stone model taken from Korean adult aging from 17 to 40 years old. The results were as follows : 1. There was no particular correlation between the presence of six normal-shaped and correctly positioned upper and lower anteriors and the presence of rotation of teeth. 2. Inter central incisor, inter lateral incisor, inter canine width and angles of adjecent teeth were not identical eath other in studied models. 3. The results of this analysis supported the statement that any bite-mark had no same feature.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.3
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• pp.305-314
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• 2001

In this paper, we construct an automatic evaluation system of psychological feeling for corporate identity (CI) symbol mark based on a fuzzy neural network technique. The system is modelled by trainable fuzzy inference rules with several input variables (qualitative and quantitative design components of CI symbol mark) and a single output variable (consumer's feeling). The back propagation learning algorithm, which is a conventional learning method of multilayer feedforward neural networks, is used for parameter identification of the fuzzy inference system. The learning ability to train data and the generalization ability to test data are evaluated for the proposed evaluation system by computer simulations.