• International journal of advanced smart convergence
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• 제13권2호
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• pp.249-257
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• 2024

As the main driver of economic growth and employment, the agricultural sector plays an important role in Vietnam's economy. However, in recent years, the sector has faced new challenges and also presented new investment opportunities to stimulate agricultural growth. Many Vietnamese agricultural producers currently lack the modern technology and decision support tools needed to maintain and improve productivity in a rapidly changing environment. Other stakeholders in the agricultural value chain, such as input suppliers, distributors, and consumers, also face significant challenges, including disrupted value chains, transportation costs. The cost of transporting goods across the supply chain continues to increase and information exchange remains fragmented. A potential solution to address these challenges is the application of digital transformation in agricultural supply chains. Farmers and other value chain participants can improve the production of their goods and procedures by utilizing new and cutting-edge technologies that are integrated into a unified system as part of the digital transformation of agricultural supply chains. In this study, we evaluate the current status of digital transformation in the supply chain of the agriculture industry by finding and examining pertinent publications from key agencies as well as prior research. From there, in the framework of the digital economy, this study suggests a digital transformation roadmap for the agricultural supply chain.

• 골판지포장물류
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• 48호통권11호
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• pp.96-105
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• 2003

• 전기저널
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• 10호통권118호
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• pp.35-39
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• 1986

• 골판지포장물류
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• 47호통권10호
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• pp.125-135
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• 2003

• Journal of international Conference on Electrical Machines and Systems
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• 제3권2호
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• pp.116-120
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• 2014

3-phase Induction machines are being used in industry and dq transformation from 3 phase of a, b, c is commonly used to analyze these machines. The equivalent circuits of d and q axis are however generally cross coupled and not simple to analyze. In this study, an analysis method of 3ph induction motor considering current regulator using dq transformation and matrix vector is proposed and it can explain the 3ph induction motor physically. This model does not need the separating process of d and q components. With this technique, the model becomes simple, is easy to understand in physical, and can get the same results with those from the other dq models. These simulation results of the proposed model are compared with those of other models for the conformation of the proposed method.

• 전기학회논문지
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• 제61권11호
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• pp.1601-1605
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• 2012

Three-phase voltage and current is applied to the three-phase alternating current motors which are commonly used in industry. Three phase variables of a, b, c are converted into d, q, 0 axis and the AC machines are modeled and analyzed. Basically the coordinate transformation or d-q transformation is used for convenience, a few steps are needed to analyze the motor performances - separating d and q components, establishing each equivalent circuit, and solving the differential equations of the circuits. In this study, a modeling technique of induction motor using complex vector is proposed and it can explain the induction motor physically. This method does not need the separating process of d and q components. With this technique, the model becomes simple, is easy to understand in physical, and can get the same results with those from the other models. These simulation results of the proposed model are compared with them for the conformation of the proposed method.

• 한국표면공학회지
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• 제37권5호
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• pp.263-272
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• 2004

High strength steels such as transformation induced plastic steel, dual phase and solid solution Hardening have been developed and continuously improved due to the intensified needs in the automotive industry. But silicon and manganese in transformation induced plastic steels were known to exhibit harmful effects on galvannealing reaction by oxide film formed during heat treatment. Therefore, in this work, the applicability of Zn-Ni electrodeposition instead of hot dip galvannealed coating to transformation induced plastic steels was evaluated and optimum electroplating condition was investigated. Based on these investigations optimized electroplating conditions were proposed and Zn-Ni electrogalvanized steel sheet was produced by EGL (electrogalvanized line). Its perfomance properties for automotive steel was evaluated.

• 경영정보학연구
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• 제5권2호
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• pp.1-21
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• 2003

e-비즈니스 환경에서 중개 유통기업은 공급자의 고객과의 직거래에 대한 위협에 대응하여 지속적인 변화를 추구하고 있다. 본 논문에서는 웹 기반 정보기술 활용을 통한 산업재 유통기업의 e-트랜스포메이션 전략을 분석적 관점에서 다루었다. 거래 비용 이론에 의하면 인터넷의 급격한 보급은 중개자와 공급자의 통합 및 아웃소싱에 의한 분할 등 상반되는 두 가지 방향을 동시에 촉진한다고 연구된 바 본 연구에서는 이러한 전략적 변화 방향에 대한 프레임웍을 중개유통 기업의 공급사슬 가치기여 이론과의 결합을 통하여 제시하였다. 공급사슬 가치기여 관점에서는 정보기술과 관련된 공급사슬 특성, 유통채널 조직간의 역학관계, 인터넷 유통 채널 특성 등의 상황적 변수가 포함되었다. 본 논문에서 제시된 프레임웍은 이와 같은 변수들의 복합적인 연계관계가 고려된 상황적 대안을 제시하고 있으며 제안된 명제들의 효과성은 산업재 유통기업의 종단적 심층 사례 연구를 통하여 분석되었다.

• 무역학회지
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• 제42권1호
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• pp.47-67
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• 2017

본 연구는 네트워크 분석기법에 기반을 둔 생산물공간모형(product space model)의 분석도구들을 이용해 대구경북지역 산업을 분석한다. 분석대상기간을 2000~2001년과 2013~2015년의 두 기간으로 설정하고, 지역산업에 대한 현시비교우위의 동태적 변동을 추적해 HS 4단위의 421개 품목을 대상으로 전통(즉, 경쟁력 유지)품목, 신흥품목, 사양품목, 한계품목의 네 그룹으로 구분한 후 생산물공간 구조를 살펴보고 있다. 이를 통해 2000~2001년 이후 최근에 이르는 동안 지역산업은 상당한 구조전환을 겪었으며, 그 구조전환의 범위와 폭이 넓었다는 점을 확인할 수 있었다. 아울러 그러한 구조전환이 산업별 품목별로 어떻게 다르게 나타나는지를 확인할 수 있었는데 이는 정책대응이 필요한 대상영역에 대한 유용한 정보로 활용될 수 있어 보인다.

• 패션비즈니스
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• 제26권2호
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• pp.28-47
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• 2022

Rapid development of information and communication technology is leading the digital transformation (hereinafter, DT) of various industries. At this point in rapid online transition, fashion manufacturers operating offline-oriented businesses have become highly interested in DT and artificial intelligence (hereinafter AI), which leads DT. The purpose of this study is to examine the development status and application case of AI-based digital technology developed for the fashion industry, and to examine the DT stage and AI application status of domestic fashion manufacturers. Hence, in-depth interviews were conducted with five domestic IT companies developing AI technology for the fashion industry and six domestic fashion manufacturers applying AI technology. After analyzing interviews, study results were as follows: The seven major AI technologies leading the DT of the fashion industry were fashion image recognition, trend analysis, prediction & visualization, automated fashion design generation, demand forecast & optimizing inventory, optimizing logistics, curation, and ad-tech. It was found that domestic fashion manufacturers were striving for innovative changes through DT although the DT stage varied from company to company. This study is of academic significance as it organized technologies specialized in fashion business by analyzing AI-based digitization element technologies that lead DT in the fashion industry. It is also expected to serve as basic study when DT and AI technology development are applied to the fashion field so that traditional domestic fashion manufacturers showing low growth can rise again.