• Journal of the Korean association of regional geographers
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• v.15 no.4
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• pp.435-448
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• 2009

This paper aims to examine the local changes in which the introduction of new fishery technology in small remote island, Geomun-Do, had resulted. The main findings are as follows. With the help of introduction of new fishery technology, local fishery industry transformed self-sufficient one into commercial one. This led to increase in the productivity of fishery industry and, subsequently, the emergence of new social system and processing facilities. The growth of fisheries, which led the opening of fishing market and the development of processing industry, made it change local industrial structure. This paper focused particularly on local cultural transformation revealed in the process of the introduction of new fishery technology. In conclusion, the paper argues that the pace of cultural transformation can be selectively appeared by the qualitative characteristics of locality and social group, when new cultural elements are introduced and adapted to a certain locality.

• Korea Trade Review
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• v.47 no.3
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• pp.57-73
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• 2022

The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.

• Journal of the Korean Graphic Arts Communication Society
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• v.20 no.2
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• pp.85-93
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• 2002

Recently, the flatbed scanner is widely used to input color original copy in printing industry. In the process of RGB-to-CMY transformation for the scanned colors using the look-up table(LUT) based on the color gamut of the actual output device, however, the problem that some colors in the original out of the gamut cannot be printed, may occur. In this study, another color transformation method applicable to any kind of originals using the new LUT with extended gamut based on the ideal output device, was examined and proposed.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.8
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• pp.98-104
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• 2013

AC machines are in wide use in industry and d-q transformation from 3 phase of a, b, c is commonly used to analyze these kinds of machines. The equivalent circuits of d and q axis are, however, generally cross coupled and difficult to analyze. In this study, a modeling technique of AC machine including induction and PM synchronous motors using matrix vector is proposed. With that model, it can not only explain the AC machines physically but also make it simple to analyze them. The separating process of d and q components is not needed in this model and this model can be applied to analyze asymmetric motors like IPMSM machine. With this technique, the model becomes simple, easy to understand physically, and yields results that are the same as those from other models. These simulation results of the proposed model for induction motor are compared with those of other models to verify the method proposed.

• Journal of Plant Biotechnology
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• v.47 no.2
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• pp.107-117
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• 2020

Flower industry is now growing due to the development of economy in many countries. Simultaneously, needs from consumers in flower market are varied widely. To satisfy the needs from consumers and deal with a variety of diseases from a lots of pathogens as well as climate change, new elite flower cultivars should be released in flower market. For this purpose, conventional and biotechnological techniques can be employed to make good cultivar. Therefore, this review describes the general overview of flower breeding techniques including cross-hybridization, mutation breeding and genetic transformation systems. Also, breeding systems for ornamentals derived from plant tissue culture such as embryo culture, in vitro fertilization, ovary/ovule culture and haploid production were reviewed. Furthermore, in this study recent development of the generation of new flower cultivars using marker-assisted breeding, plant transformation including particle bombardment and Agrobacterium tumefaciens as well as genome-editing technology were described. This review will be contributed to the development and releasement of new flower cultivars with horticulturally useful traits in the future.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.94-102
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• 2013

The architecture, engineering and construction (AEC) industry is beginning to utilize Building Information Modeling (BIM), benefiting from the resulting improved visualization and productivity, better coordination of construction drawings, building documents that contain embedded links to virtual information, faster delivery, and lower costs. However, construction firms often face challenges when reorganizing their company structure to take full advantage of these benefits. This paper proposes an organizational structure that will enable engineering-construction firms to successfully adopt and implement BIM for major construction projects. A case study research method is utilized based on in-depth interviews with four BIM directors and vice presidents charged with BIM adoption, implementation and education. Organizational transformation challenges and recommendations are discussed in detail for those considering implementing BIM in the engineering-construction industry. Topics such as organizational changes in the firm, costs and benefits of BIM implementation, strategies of BIM implementation (execution) plan, BIM education, risks and opportunities associated with BIM, BIM software, contract methods, human resource management and new hires, and the future implementation and direction of BIM are discussed in detail.

• Journal of the Korea Computer Industry Society
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• v.8 no.3
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• pp.155-166
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• 2007

In this paper, captured face-image was pre-processing, segmentation, and extracting features from thinning by differential operator and minute-delineation. A straight line in slope-intercept form was transformed at the $r-\theta$ domain using Hough Transform, instead of Housdorff distance are extract feature as length, rotation, displacement of lines from thinning line components by differentiation. This research proposed a new approach compare with Hough Transformation and Housdorff Distance for face recognition so that Hough transform is simple and fast processing of face recognition than processing by Housdorff Distance. Rcognition accuracy rate is that Housdorff method is higher than Hough transformation's method.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.77-91
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• 2024

This article aims to comprehensively analyze the crucial role played by data analytics and business intelligence (BI) strategies in propelling digital transformation within diverse industries. Through an extensive literature review and examination of real-world case studies, the study employs a systematic analysis of scholarly works and industry reports. This approach provides a panoramic view of how organizations utilize data-driven insights for competitive advantages, improved customer experiences, and fostering innovation. The findings underscore the pivotal significance of data analytics and BI strategies in influencing strategic decision-making, enhancing operational efficiency, and ensuring long-term sustainability across various industries. The study stands out in its originality by offering a unique synthesis of insights derived from scholarly works and real-world case studies, contributing to a holistic understanding of the transformative impact of data analytics and BI on contemporary business practices. While the study provides valuable insights, limitations include the scope of available literature and case studies. The implications call for further research to explore emerging trends and evolving challenges in the dynamic landscape of data analytics and BI. The practical implications highlight the tangible benefits organizations can derive from integrating data analytics and BI strategies, emphasizing their role in shaping strategic decisions and fostering operational efficiency. In a broader context, the study delves into the social implications of the symbiotic relationship between data analytics, BI, and digital transformation. It explores how these strategies impact broader societal and economic aspects, influencing innovation and sustainability.

• Journal of Distribution Science
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• v.22 no.3
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• pp.71-81
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• 2024

Purpose: This study examines the impact of inclusive policies and green transformation on regional development of mining areas. Research design, data and methodology: We designed and utilized a structured questionnaire to collect data from a population of 300 individuals. The questionnaire was disseminated through Google Forms and consisted of five questions for each research variable. A total of 210 respondents completed the questionnaire, yielding a response rate of 70%. The sample was diverse in terms of gender and educational level Of the 210 respondents, 113 were female (53.8%) and 97 were male (46.2%). In terms of educational background, the sample was composed as follows: 13 individuals with a Doctorate degree (6.2%), 56 with a Master's degree (26.7%), 97 with a Bachelor's degree (46.2%), 22 with a Diploma (10.5%), and 22 with a High School education (10.5%). Results: The research outcomes highlight the significant influence of inclusive policies on driving the Distribution of green economic transformation. Emphasizing the pivotal role of inclusive distribution strategies, especially within the context of mining areas, the study sheds light on their crucial contribution to fostering regional development. Conclusion: These findings hold valuable implications for policymakers, industry stakeholders, and academics promoting environmentally conscious economic transformations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.261-264
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• 2001

제조업의 e-Transformation을 통한 경쟁력 향상 방안은 닷컴 기업의 수익성 향상 등과 함께 e-비즈니스 모델 설계의 주요 이슈이다. 본 논문에서는 제조기업의 e-Business화라는 포괄적인 주제에 대하여 철강산업을 대상으로 변화에 대한 주요 요소와 관련된 실증적 사례를 제시하는데 초점을 두었다. 주요 변화관리(Change Management) 요소로는 기업의 내,외부 공급사슬 최적화, 고객관계관리, 구매 및 판매 관련 전자상거래와 정보시스템 활용 등을 정의하고, 이와 관련된 AS-IS 대비 TO-BE의 성과 향상을 위한 개선가능요인(Improvement Potential)과 달성방안을 전개하였다. 본 논문의 특징은 재고 등 내부 효율성 관련 성과 및 고객과 관련된 서비스 수준 향상을 위한 공급사슬 상에서의 Electronic 가치사슬의 재구성과 Logic 개선요소를 철강산업의 실증적 사례를 통하여 제시한데 있다.