• International Journal of Quality Innovation
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• v.8 no.1
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• pp.15-26
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• 2007

This paper presents a methodology to nominate and select improvement projects that are perceived as adding value to customers (both internal and external). The structure of the methodology can be explained in three "stages." First, the methodology suggests a new way of categorizing improvement opportunities, i.e. reactive-proactive, to "upgrade" the little Q-big Q categorisation. Then, it develops a roadmap that links performance indicators and improvement projects for both reactive and proactive improvements. Finally, it suggests an algorithm to select the improvement project, where the assessment of to what extent the nominated improvement projects add value to customers relies on the comparison between Overall Perceived Benefits (OPB) and Overall Perceived Efforts (OPE). The improvement project perceived as having the largest impact on adding value to customers receives the highest priority.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.59-65
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• 2021

In this paper, we propose the AI certification standardization activities for systematic research and planning for the standardization of trustworthy artificial intelligence (AI). The activities will be in two-fold. In the stage 1, we investigate the scope and possibility of standardization through AI reliability technology research targeting international standards organizations. And we establish the AI reliability technology standard and AI reliability verification for the feasibility of the AI reliability technology/certification standards. In the stage 2, based on the standard technical specifications established in the previous stage, we establish AI reliability certification program for verification of products, systems and services. Along with the establishment of the AI reliability certification system, a global InterOp (Interoperability test) event, an AI reliability certification international standard meetings and seminars are to be held for the spread of AI reliability certification. Finally, TAIPP (Trustworthy AI Partnership Project) will be established through the participation of relevant standards organizations and industries to overall maintain and develop standards and certification programs to ensure the governance of AI reliability certification standards.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.379-387
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• 2024

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• Journal of Engineering Education Research
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• v.11 no.3
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• pp.5-11
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• 2008

Far greater than ever before is the present industrial demand for skilled professionals in innovative product design and development. Yet there is an apparent lack of a sufficient curricular provision for training design professionals in almost all engineering schools. The present study is to propose a systematic procedure for developing a strategy for building an innovative product design curriculum and demonstrate its application. The procedure consists of three major steps: strategic element derivation, task formulation, and task execution roadmap construction. The proposed procedure was applied to develop a modular curriculum (a cluster of several related courses) covering various subjects in relation to innovative product design and development. The procedure seems quite effective and useful for developing a curriculum that is strategically well differentiated based on the unique characteristics of a particular educational institute and its applicability seems not limited to a specific domain.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.849-857
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• 2008

Technology roadmapping is one of the widely used technology planning methodologies. Using a technology roadmap, the researchers can increase the possibility of the project success by systematic management of research contents, budgets, and commercialization strategies. Currently, Ministry of Land, Transport and Maritime Affairs has a plan to increase the research fund to improve the construction industry. As a result, the number of long term research projects with more than five years of research period, is increasing. This entails the need for a methodology for the systematic planning and management of research. However, the construction industry has the characteristics that the research results should ultimately be implemented in an outdoor environment. Through processes of diverse literature reviews, questionnaire-based survey, and pilot research, this paper presents a systematic procedure for the development of construction technology roadmaps, which can consider the unique nature of the construction industry. Based on the procedure, a technology roadmap for intelligent construction monitoring is also developed.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.1-8
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• 2020

Artificial-intelligence (AI) technology is used in a variety of fields, from robot cleaner motion control to call center counselors, AI speakers, and Mars exploration. Because the technology levels of all applications and services that utilize AI vary widely, it is not possible to view all applications using AI technology at the same level. Nevertheless, there have been no cases in which the level of AI technology was defined. Therefore, the Electronics and Telecommunications Research Institute (ETRI) Artificial Intelligence Research Laboratory has defined the levels of the main technical elements of AI from steps 1 to 6. In this report, the Artificial Intelligence Technology Level 1.0 (ATL 1.0) is presented. It was established by comprehensively referring to the AI technology prospects and technology roadmaps of major countries. It is hoped that it can be used as a measure for determining the levels of AI applications or services or as an indicator for establishing a technology roadmap.

• Clean Technology
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• v.24 no.2
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• pp.146-153
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• 2018

The water footprint is an important component of the Single Market for Green Product initiative based on the EU's Roadmap to a Resource Efficient Europe. In July 2014, the EU has established the International Standard for Water Footprint (ISO 14046) and Korea has complied with the Korean Industrial Standard (KS I ISO 14046) in April 2015. If a certification system based on the international standard (ISO 14046) is introduced, developing countries such as India and Vietnam, which are not equipped with bases, can become a trade barriers in exporting, so Korea should establish a strategy to reverse them. On the other hand, water footprints are designed to take into account local environmental impacts when compared to similar footprints (eg, carbon footprint) using LCA, so that products manufactured and manufactured in Korea will have an impact on domestic waters Should be considered. Therefore, the method of the water footprint should conform to the standard for compatibility with other countries. In order to consider the domestic water condition, it is necessary to identify suitable indicator or factor for estimating water footprint on Korea. For this purpose, this study analyzed the water footprint estimation study conducted at domestic and foreign based on international standards and through the analysis of statistical data related to domestic water resources, we confirmed the applicability of the water footprint methodology in Korea.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.360-364
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• 2004

기술 로드맵(technology roadmap)은 기업의 사업전략을 기술계획에 반영하고 기술을 제품, 시장과 연결하는 기술기획 방법론이다. 기존의 연구들은 기술 로드맵의 전략적 효과에 대한 정성적 분석이나 기본적인 이해를 돕기 위한 연구에 치우쳐 있어, 구체적인 작성과정이나 작성과정에 포함되는 의사결정을 지원하는 방법론 개발에 대한 연구는 부족했다. 이에 본 연구는 QFD(Quality Function Deployment)와 웹 기반 시스템의 설계를 통해 기술 로드맵 작성과정을 지원하는 방법론을 제안하고자 한다. 구체적으로는 우선 QFD를 활용하여 고객동인(market driver)과 제품 동인(product driver), 제품 동인과 기술 동인(technology driver)의 연결고리를 발견하고 다음으로 전략적 의사결정을 위한 대안을 평가하는 과정으로 구성된다. 마지막으로 제안한 방법론을 구현하는 웹 기반의 시스템을 소개한다. 웹 기반 시스템과 QFD의 도입으로, 의사결정을 지원하는 체계적인 틀을 제공하고 기술로드맵 작성과정을 보다 효율적으로 수행할 수 있도록 하는 효과를 기대할 수 있다.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.1
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• pp.33-42
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• 2008

Many advanced countries including the U.S. consider defense standardization as a critical task for the efficient acquisition and effective operation of weapon systems and have implemented the appropriate standardization policy by synchronizing the defense acquisition strategies and nation standardization policy with defense standardization. It is required to develop the long-term defense standardization policy that can cope with the future domestic and international defense environmental changes. Therefore, it is an inevitable task to investigate the standardization trends and strategy in the domestic and international perspectives. The study aims to provide the vision of defense standardization policy, act/regulation, organization/personnel, education/training and information system.