• International Commerce and Information Review
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• v.16 no.5
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• pp.179-201
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• 2014

The complementary effect between FDI and its absorptive capacity has drawn more attention than before. This paper intended to explore the relationship between energy intensity and such complementary effect. The absorptive capacity of FDI shows various aspects among which we focus on the human capital, the financial system and the infrastructure in this paper. Using the panel data from 1990 to 2011, the study is processed between the 20 OECD and 20 Non-OECD countries. The empirical results shown that for OECD country, a complementary effect exists between FDI and its absorbability and it has the controlling effect on energy reduction. But the effect is only significant in the human capital and the financial system. The infrastructure variable is less important in OECD country due to their high development level. However, for non-OECD country, the complementary effect between infrastructure and FDI reduces energy consumption significantly, it can get to the point that the process for infrastructure to attract FDI and also benefits from it only blow its way to the Non-OECD, developing countries, without andy special effects for the OECD countries which has already highly build up their infrastructure. Also, the financial system in Non-OECD countries is at the primary stage yet, which is not easy to contribute efficiency. To make a conclusion, the complementary effect between infrastructure and FDI in OECD country and which between finical system and FDI in non-OECD country cannot enhance energy efficiency as expected.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1272-1278
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• 1999

A fault is considered as a variation of physical parameters; therefore the design of fault detection and identification(FDI) can be reduced to the parameter identification of a non linear system and to the association of the set of the estimated parameters with the mode of faults. Neuro-Fuzzy Inference System which contains multiple linear models as consequent part is used to model nonlinear systems. Generally, the linear parameters in neuro-fuzzy inference system can be effectively utilized to fault diagnosis. In this paper, we proposes an FDI system for nonlinear systems using neuro-fuzzy inference system. The proposed diagnostic system consists of two neuro-fuzzy inference systems which operate in two different modes (parallel and series-parallel mode). It generates the parameter residuals associated with each modes of faults which can be further processed by additional RBF (Radial Basis Function) network to identify the faults. The proposed FDI scheme has been tested by simulation on two-tank system.

• Journal of the Korean association of regional geographers
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• v.21 no.1
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• pp.114-136
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• 2015

Manufacturing FDI is mainly conducted by establishing production firms in the host country. The foreign branch facilities which are closely connected to headquarters in the home countries through the global supply chain have decisive effects on the integration of global production system and on the pattern changes in international logistics. Therefore, the study on the development process of manufacturing supply chain through FDI can be the key factor to understand the global production and international logistics system. This study analyzes the spatial and temporal patterns of direct investments in China by Korean companies in the manufacturing sectors. The results show a great deal of differential in periods and regions in investment. At the early period of Korean manufacturing FDI, the coast provinces in China which are adjacent to Korean peninsula were main investment target regions. However recently, coastal and inland provinces far away from Korea have been important for attracting Korean manufacturing capital. If further affiliated studies are done, the results of this study would be more beneficial to understand the logistics flows of regional supply chain based on the manufacturing FDI.

• Journal of Korea Trade
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• v.24 no.1
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• pp.146-170
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• 2020

Purpose - This paper addresses the concepts of FDI-Trade-Growth nexus in Myanmar's economy and empirically investigates the interrelationships of trade, investment and economic growth to reveal the growth model of Myanmar's economy. Additionally, this paper also addresses the cooperative strategies between Myanmar and South Korea through a case study related to South Korea's economic growth. Design/methodology - Our empirical model considers the interrelationship among FDI, trade, growth, labor force and inflation in Myanmar. This study employs ARDL (Autoregressive Distributed Lag) to conduct an analysis of the FDI-Trade-Growth relationships using the time series data from 1970 to 2016 and a conducted case study of South Korea provided for practical implication on cooperative strategies between Myanmar and Korea. Findings - Export equation was chosen through the diagnostic tests. Our main findings can be summarized as follows: Export in Myanmar is positively influenced by labor force, FDI, capital formation and negatively impacted by import and instable inflation rate in the long run. In the short run, GDP and import positively influence export. The Granger causality test proves that Myanmar is an FDI/labor force-led Growth economy, where FDI and labor force are main drivers of export followed by GDP in Myanmar. The case study of South Korea provided that Korea's tax and credit system for promoting export-led FDI industries and cooperative units for joint ventures between Korea and Myanmar in export-led FDI industries are recommended. Originality/value - No study has yet to be conducted on the interrelationships of macroeconomic factors from the perspectives of FDI-Trade-Growth Nexus in Myanmar under the assumption of labor force and inflation rate as fundamental conditions. The current study also covered a relatively longer period of time series data from 1970 to 2016. This paper also conducts a case study of South Korea's experience in order to evaluate the findings and provide better policy implications.

• The Journal of Industrial Distribution & Business
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• v.14 no.10
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• pp.1-9
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• 2023

Purpose: In an increasingly globalized world, foreign direct investment (FDI) plays an essential role in the economic improvement of countries. This study aims to delve into the topic of overseas direct investment (FDI) and offer a complete analysis of its strategic advantages and disadvantages. By thoroughly examining the present literature, this study aims to discover and explore the diverse advantages and drawbacks. Research design, data and methodology: The information analysis system systematically and rigorously examined the selected studies. The evaluation will follow a thematic technique in which conventional subject matters and styles associated with FDI's strategic benefits and downsides can be recognized and synthesized. Data extraction contained relevant facts from the chosen research, along with the study objectives. Results: This study provides the findings of the, which explores the strategic advantages and disadvantages of foreign direct investments (FDI) primarily based on the evaluation of previous research. A comprehensive review of the identified benefits and drawbacks highlights their implications for businesses engaged in FDI. Conclusions: In sum, the findings offer valuable insights for practitioners, guiding their decision-making methods in the international commercial enterprise landscape. Organizations can function for fulfillment and sustainable development in the global marketplace by leveraging the advantages and effectively managing demanding situations.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1423-1427
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• 1997

This paper deals with an algebraic approach to FDI observer design procedure. In general, FDI observer can be designed a sLuenbrger-type and equations for unknown input and actuator fault estimation include derivation of system outputs which is not available from the measurement directly. At this point, this paper presents STWS approach which can convert the derivation procedure to the recursive algebraic form by using its orthogonality and disjointess to alleviate such problems.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.11
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• pp.883-890
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• 2003

Two GOS (Generalized Observer Scheme) type Fault Detection Isolation Schemes (FDIS), employing the bank of unknown input functional observers (UIFO) as a residual generator, are proposed to make the practical use of the multiple observer based FDIS. The one is IFD (Instrument Fault Detection) scheme and the other is PFD (Process Fault Detection) scheme. A design method of UIFO is suggested for robust residual generation and reducing the size of the observer bank. Several design objectives that can be achieved by the FDI schemes and the design methods to meet the objectives are described. An IFD system is constructed for the Boeing 929 Jetfoil boat system to show the effectiveness of the propositions. Major contributions of this paper are two folds. Firstly, the proposed UIFO approaches considerably reduce the size of residual generator in the GOS type FDI systems. Secondly, the FDI schemes, in addition to the basic functions of the conventional observer-based FDI schemes, can reconstruct the failed signal or give the estimates of fault magnitude that can be used for compensating fault effects. The schemes are directly applicable to the design of a fault tolerant control systems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.447-452
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• 1998

A fault is considered as a variation of physical parameters; therefore the design of fault detection and identification(FDI) can be reduced to the parameter identification of a non linear system and to the association of the set of the estimated parameters with the mode of faults. ANFIS(Adaptive Neuro-Fuzzy Inference System) which contains multiple linear models as consequent part is used to model non linear systems. In this paper, we proposes an FDI system for non linear systems using ANFIS. The proposed diagnositc system consists of two ANFISs which operate in two different modes (parallel-and series-parallel mode). It generates the parameter residuals associated with each modes of faults which can be further processed by additional RBF (Radial Basis function) network to identify the faults. The proposed FDI scheme has been tested by simultation on a two-tank system

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.11
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• pp.943-951
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• 2015

Inertial sensors are important components of navigation system whose performance and reliability can be improved by specific sensor arrangement configuration. For the reliability of the system, Fault Detection and Isolation (FDI) is conducted by comparing each signal of arranged sensors and many arrangement configuration were suggested to optimize FDI performance of the system. In this paper, multiple conic configuration is suggested with optimal navigation condition and its FDI performance is analyzed by established Figure Of Merit (FOM) under the condition for navigation optimality. From FOM comparison, the multiple conic configuration is superior to former one in point of FDI.

• International Journal of Automotive Technology
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• v.8 no.5
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• pp.637-650
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• 2007

A new on-line fault detection and isolation(FDI) scheme has been proposed for engines using an adaptive neural network classifier; this paper investigates the robustness of this scheme by evaluating in a wide range of operational modes. The neural classifier is made adaptive to cope with the significant parameter uncertainty, disturbances, and environmental changes. The developed scheme is capable of diagnosing faults in the on-line mode and can be directly implemented in an on-board diagnosis system(hardware). The robustness of the FDI for the closed-loop system with crankshaft speed feedback is investigated by testing it for a wide range of operational modes, including robustness against fixed and sinusoidal throttle angle inputs, change in load, change in an engine parameter, and all changes occurring simultaneously. The evaluations are performed using a mean value engine model(MVEM), which is a widely used benchmark model for engine control system and FDI system design. The simulation results confirm the robustness of the proposed method for various uncertainties and disturbances.