• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.166-175
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• 2020

Recently, application fields for processing and using digital image contents in various forms and types are rapidly increasing. Since image content is high value-added content, the intellectual property rights of this content must be protected in order to activate the production and use of the digital image content. In this paper, we propose a deep learning based watermark embedding and extraction network. The proposed method is to maximize the robustness of the watermark against malicious/non-malicious attacks while preserving the invisibility of the host image. This network consists of a preprocessing network that changes the watermark to have the same resolution as the host image, a watermark embedding network that embeds watermark data while maintaining the resolution of the host image by three-dimensionally concatenating the changed host image and the watermark information, and a watermark extraction network that reduces the resolution and extracts watermarks. This network verifies the invisibility and robustness of the proposed method by experimenting with various pixel value change attacks and geometric attacks against various watermark data and host images with various resolutions, and shows that this method is universal and practical.

• The KIPS Transactions:PartA
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• v.15A no.3
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• pp.141-149
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• 2008

In this research we present a novel method which combines and visualizes the design model and the FDM-based simulation result of solidification. Moreover we employ VR displays and visualize stereoscopic images to provide an effective analysis environment. First we reconstruct the solidification simulation result to a rectangular mesh model using a conventional simulation software. Then each point color of the reconstructed model represents a temperature value of its position. Next we map the two models by finding the nearest point of the reconstructed model for each point of the design model and then assign the point color of the design model as that of the reconstructed model. Before this mapping we apply mesh subdivision because the design model is composed of minimum number of points and that makes the point distribution of the design model not uniform compared with the reconstructed model. In this process the original shape is preserved in the manner that points are added to the mesh edge which length is longer than a predefined threshold value. The implemented system visualizes the solidification simulation data on the design model, which allows the user to understand the object geometry precisely. The immersive and realistic working environment constructed with use of VR display can support the user to discover the defect occurrence faster and more effectively.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.10
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• pp.51-60
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• 1999

For an effective phase-multiplexing in holographic memory system, four types of phase code used as reference beam are generated. In case of $32 {\times} 32$ address beam, a phase error with 0%, 5%, 10% 15%, 20%, and 25% error rate, is purposely added to the real phase values in order to consider the practical SLM's nonlinear characteristics of phase modulation in computer simulation, cross talks and SNRs are comparatively analysed for these phase-codes by the auto and cross-correlation. Pseudo-Random(PSR) Phase Code has the lowest cross-correlation mean value of 0.067 among four types of Phase Code, which means the SNR of the PSR is higher than other Phase Codes. Also, the standard deviation of the PSR phase code indicating the degree of recalled data degradation is the lowest value of 0.0113.

• Food Science of Animal Resources
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• v.25 no.3
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• pp.322-327
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• 2005

This study was intended to provide basic information which might be useful in increasing added values to the pork from Korean native black pigs (KNP), through comparative evaluation on carcass characteristics and meat qualities between KNP and four exotic breed groups including Duroc (DD), Landrace (LL), Yorkshire (YY), and LYD-cross (1/4LL 1/4YY, 1/2DD), and the results were summarized as follows. Live weight carcass weight, dressed meat weight, skin weight, fat weight and bone weight of KNP were significantly (p<0.05) lower than those of DD, LL, YY and LYD-cross. Carcass yield and dressed meat yield were also significantly (p<0.05) lower in KNP than other 4 groups, however, total fat, skin, bone, kidney and kidney fat in percentage were significantly (p<0.05) higher for KNP than others. Dressed meat yield was highest for YY, followed by LYD-cross and KNP. Weight of belly was 6.12, 9.43, and 9.52 kg for KNP, YY and LYD-cross, respectively. Percent belly of KNP was $11.11\%$ while other groups ranged from 11.5 to $12.2\%$ Shear force value was not different among the treatments. KNP had significantly (p<0.05) lower water holding capacity (WHC), and cooking loss, but significantly (p<0.05) higher in juiciness comparatively. KNP had significantly (p<0.05) higher $a^{*}$ value while DD had significantly (p<0.05) lower than other breeds.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.91-102
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• 2011

Smart work is deeply embedded in our contemporary lives. This is called Smart Life. The expansion of communication, caused by smart life is utilized for the political purposes of politicians, political candidates, and political policies. Chiefly, smart life includes improvement in awareness, personal relations, and policy advocacy. Socially, smart life leads the proliferation of issues and civil movement. In particular, smart life has a significant effect on culture. In the case of K-POP, it is disseminated going beyond space time. It enhances economic value added by joining and sharing at the same time. Smart life has numerous advantages such as improving the quality of life, but it might cause inconvenience depending on users because there are differences in acceptance according to generations. Due to the heavy weight on the device, there are some side-effects such as lacking in human thinking, disclosure in private life, lacking in basic securities, increase in information addicts who are anxious when they do not get on the Internet or SNS, and interference with work. However, this inconvenience can change into convenience when users are accustomed to it. Like this, smart life influences politics, economy, society, and culture a lot. Working environment of smart life is a new paradigm, which can generate high performance through working in an exciting and bright atmosphere with easy economy and putting value on results.

• Journal of Navigation and Port Research
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• v.35 no.5
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• pp.415-421
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• 2011

The purposes of this study were to identify the economic impacts of hosting a marine leisure event and thus provide fundamental information that helps maximize the economic value of the event. In order to accomplish such purposes, this study employed both an economic impact analysis(EIA) using regional input output model and a benefit and cost ratio analysis(BCR). In specific, this study utilized a survey method with a total of 300 event visitors and 70 foreign players and thus collected expenditure data from 110 valid out of town visitors and 58 foreign players. In addition, investment expenditure data were collected from the host city official. Accordingly, EIA and BCR indicated following findings. First, the total direct impact from both visitors and players was 387 million Won and this direct impact resulted in output multiplier effect(OME) of 591 million Won, value added multiplier effect(VAME) of 306 million Won and income multiplier effect(IME) of 252 million Won. Second, the host city's investment expenditure created OME, VAME and IME of 825, 432 and 366 million Won, respectively. In conclusion, these findings suggest that in order to effectively boost potential economic benefits, more marketing efforts development policies should be implemented for increasing the number of out of town visitors and the amount of spendings from them.

• Archives of design research
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• v.18 no.3 s.61
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• pp.55-62
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• 2005

Recently, the opening of the world economy and regional ization of national demand endless endeavors and investments to upbring design-industry for regional economic development. Our domestic commodities, declined in price competitiveness against China and Southeast Asian nations, need construction of brand image of commodities and consumers' response through expanded concernments in marketing spheres. The design-industry is a important means to strengthen competitiveness of the domestic industry through discrimination of commodities and creativity of high added value. Design-industry has some problems in circumstances; commodity development and marketing are below the level in the sphere of manufacture industry yet and businessmen are unwilling to invest demanded for development of new design. Establishment of the personal foundation, useful for accumulating competent designers' experiences and technologies, can not pass limit. In addition, a system and a policy to protect design-industry have a problem in effectiveness. Concrete strategies to activate design industry which meets social and cultural circumstances of Daegu and Gyeongbuk region are to establish policy for construction of specialists' infra, systematization of study & development of design, common ownership of information on design, and expansion of design company. The business to upbring design in the region should be operated to develop competitive commodities which is helpful to the regional economy and to increase value of the regional enterprises' brand. In addition, foundation of design should be expanded personal, material, and informational infra through design-centered so that they are helpful to activate economy of Daegu and Gyeongbuk through making design reformational cluster.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.61-73
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• 2021

Metaheuristic search methods have been developed to solve problems with a range of purpose functions in situations lacking information and time constraints. In this study, the Hybrid Vision Correction Algorithm (HVCA), which enhances the performance of the Vision Correction Algorithm (VCA), was developed. The HVCA has applied two methods to improve the performance of VCA. The first method changes the parameters required by the user for self-adaptive parameters. The second method, the CGS structure of the Exponential Bandwidth Harmony Search With a Centralized Global Search (EBHS-CGS), was added to the HVCA. The HVCA consists of two structures: CGS and VCA. To use the two structures, a method was applied to increase the probability of selecting the structure with the optimal value as it was performed. The optimization problem was applied to determine the performance of the HVCA, and the results were compared with Harmony Search (HS), Improved Harmony Search (IHS), and VCA. The HVCA improved the number of times to find the optimal value during 100 repetitions compared to HS, IHS, and VCA. Moreover, the HVCA reduced the Number of Function Evaluations (NFEs). Therefore, the performance of the HVCA has been improved.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.151-160
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• 2016

The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.

• Asia pacific journal of information systems
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• v.20 no.2
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• pp.157-180
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• 2010

Rapid development of information technology has generated a new industry and market. In particular, network technology such as the Internet and other computer networks made transaction activities switched from traditional offline commerce to e-commerce. Among them, digital content is bit-based object which is created and distributed through electronic environment. In particular, many entertainment contents such as the music, the movies, and the computer game softwares are main products. Although digital content commerce has high potential demand, it lacks the consideration about the factor related to maintaining existing customer such as customer loyalty and switching costs. There has been a number of research on customer loyalty and other factors affecting it in the traditional electronic commerce environment, but there is a lack of research which examines the characteristics of digital content. The study about the effect of switching costs on customer loyalty in digital content commerce is necessary because the customers of digital content commerce market are from those of other e-commerce market or traditional offline commerce market. In addition, customer loyalty and switching costs are important factors because they may build up greater customer retention. For that reason, this study focused on examining the relationships among switching costs, antecedents for switching costs, and customer loyalty in online digital music service industry. The study has three major purposes: (1) to find antecedents of switching costs on digital content commerce and examine effect of antecedents for switching costs; (2) to identify effect of switching costs on customer loyalty in digital content commerce and examine moderating effects of alternative attractiveness; (3) to identify the differences of antecedents for switching costs by contents transmission type(streaming service and downloading service). And, the online digital music service industry is selected in this study since there are many users and transactions incurring. To accomplish these purposes, a survey questionnaire was developed and distributed to 256 informants. Survey instrument was developed based on previous research and pre-established survey items. Total of 206 surveys are collected and used in the data analysis. Among the respondents, 56.8% is male and 43.2% is female. Also, 86 responses were streaming service user group and 120 responses were download service user group. These data was analyzed using regression analysis. Major findings of empirical analysis can be summarized as follows. First, switching costs have positive effect on customer loyalty in digital content commerce environment. Second, the influence of switching costs on customer loyalty increases under conditions of high alternative attractiveness. Third, DRM convenience and breadth of use have positive effect on switching costs. The findings imply that the digital content provider should pay more attention to switching costs in addition to customer satisfaction in order to attract customers. Also, increasing the convenience of DRM use by securing the convenience of user interface and expanding the support device and increasing the service use scope by providing diverse value-added service helps to create a switching barrier. The result of the study can become a practical use in marketing strategy for maintaining existing customer. In particular, switching barrier is very important under conditions of high competition in the online music service market. This study can be used as a basis for further studies about customer retention in digital content commerce.