• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.2
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• pp.94-102
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• 2000

This paper presents a new FDI scheme based on dynamic fuzzy model(DFM) for the unknown nonlinear system, which can detect and isolate process faults continuously over all ranges of operating condition. The dynamic behavior of a nonlinear process is represented by a set of local linear models. The parameters of the DFM are identified by an on-line methods. The residual vector of the FDI system is consisted of the parameter deviations from nominal model and the set of grade of membership values indicating the operating condition of the nonlinear process. The detection and isolation of faults are performed via a neural network classifier that are learned the relationship between the residual vector and fault type. We apply the proposed FDI scheme to the FDI system design for a two-tank system and show the usefulness of the proposed scheme.

• International Area Studies Review
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• v.15 no.3
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• pp.535-558
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• 2011

Based on the Rodrik's four-way partition of institutions; market creating, market regulatory institution, market stabilizaing and market legitimizing institution, we analyze how FDI and interaction between FDI and democracy affect four kinds of institutions. By using fixed effect and system GMM model we estimate the direct and indirect effect of FDI on institutions within a large panel data set of 186 developing and developed countries for the period 1985-2009. We show that FDI inflows do not have a positive and significant impact on most kinds of institutions while interaction between democracy and FDI inflows have a significant and positive effect on market creating, market legitimizing and market stabilizing institution. The implication is FDI inflow does not directly lead to change the quality of institution but can indirectly improve it on the condition that democracy of host country become mature. To our knowledge this is the first article to empirically test the FDI and four-way unbundled institutions linkages.

• International Journal of Aeronautical and Space Sciences
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• v.7 no.1
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• pp.73-83
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• 2006

In this paper, a redundancy management system for aircraft is studied, and fault detection and isolation algorithms of inertial sensor system are proposed. Contrary to the conventional aircraft systems, UAV system cannot allow triple or quadruple hardware redundancy due to the limitations on space and weight. In the UAV system with dual sensors, it is very difficult to identify the faulty sensor. Also, conventional fault detection and isolation (FDI) method cannot isolate multiple faults in a triple redundancy system. In this paper, two FDI techniques are proposed. First, hardware based FDI technique is proposed, which combines a parity equation approach with a wavelet based technique. Second, analytic FDI technique based on the Kalman filter is proposed, which is a model-based FDI method utilizing the threshold value and the confirmation time. To provide the reference value for detecting the fault, residuals are calculated using the extended Kalman filter. To verify the effectiveness of the proposed FDI methods, numerical simulations are performed.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.1
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• pp.1-9
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• 2004

Inertial navigation system with hardware redundancy must use FDI(Fault Detection and Isolation) method to remove the influence of faulty sensors. Until now, several FDI methods such as PSA(Parity Space Approach), GLT(Generalized Likelihood ratio Test) and OPT(Optimal Parity vector Test) method are generally used. However, because these FDI methods only consider the situation that the system has one faulty sensor, these methods cannot be directly adapted for the system with two faulty sensors. To solve this problem, in this paper, PSA method is analyzed and based on this result, new FDI method called EPSA is proposed to consider a detection and an isolation of two faulty sensors in inertial navigation system.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.4
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• pp.364-370
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• 2004

In this paper, we propose a FDI method, which comes from singular value decomposition of measurement matrix fur redundant sensors. We analyze the performance of the proposed FDI method by comparing with the GLT method in two ways such as FDI performance and GN＆C performance. Also, we propose a GN＆C performance index by combining FDI and GN＆C performance.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.3
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• pp.200-206
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• 2005

In this paper, a redundancy management system for aircraft is studied, and FDI (Fault Detection and Isolation) algorithm of inertial sensor system is proposed. UAV system cannot allow triple or quadruple hardware redundancy due to the limitations on space and weight. In the UAV system with dual sensors, it is very difficult to identify the faulty sensor. Also, conventional FDI method cannot isolate multiple faults in a triple redundancy system. In this paper, hardware based FDI technique is proposed, which combines a parity equation approach with the wavelet based technique, which is a model-free FDI method. To verify the effectiveness of the proposed FDI method, numerical simulations are performed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.283-293
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• 2021

To verify the employment impact of two-directional FDI, the study analyzes panel data composed of 26 OECD countries from 2006 to 2018 by using the system GMM. Furthermore, we decompose domestic employment into types of industries and skill compositions to identify the heterogeneous employment impact. The results show that inward and outward FDI at lag one period promote domestic employment at the overall level. In terms of workers' skill levels, lagged inward FDI significantly persistently promotes high-skilled workers' employment, likewise, the positive employment impact also appears with a time lag in low-skilled labor subgroups. Outward FDI, on the other hand, initially inhibits both high- and low-skilled labor demand, but then changes to a positive effect in the highskilled labor subgroups. Although there is a time difference between inward and outward FDI, it has a significant and positive impact on employment in the manufacturing and service industries. The results indicate that the relationship between manufacturing and service employment is a mutual substitute. To attract international investors, governments should promote a favorable investment climate and maintain stable economic growth. Because low-skilled labor is more susceptible to changes in FDI, policy measures are required to ensure employment stability.

• International Commerce and Information Review
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• v.13 no.1
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• pp.145-175
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• 2011

This paper suggests the strategy for attracting FDI in Gwangju and Jeonnam region using the secondary data collected by homepage of Ministry of Knowledge Economy, Gwangju City, and Jeollanam-do. The strategy for attracting FDI in Gwangju and Jeonnam region is as follows: First, the local governments of Gwangju and Jeonnam must progressively attract FDI by adjusting to the Korean government's regional industry policy direction. Second, in order to attract FDI consistently, the local governments of Gwangju and Jeonnam must enhance the ability of local officials to attract FDI. Third, in order to attract FDI effectively, the local governments of Gwangju and Jeonnam must build a complete system to support FDI. Fourth, in order to attract FDI effectively, the local governments of Gwangju and Jeonnam have to apply different investment incentives according to FDI effectiveness. Fifth, the local governments of Gwangju and Jeonnam must consistently support foreign companies in order to induce FDI expansion by foreign companies which have already invested in the Gwangju and Jeonnam regions. Finally, in order to attract FDI consistently, the local governments of Gwangju and Jeonnam must improve the negative images and living environments of the Gwangju and Jeonnam regions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.23-36
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• 2021

The study explores the nexus between foreign direct investment (FDI), financial innovation, and exchange rate volatility in selected South Asian countries for 1980 to 2017. The study applies the unit root test, Autoregressive Distributed Lagged, nonlinear ARDL, and causality test following Toda-Yamamoto. Unit root tests ascertain that variables are integrated in a mixed order; few variables are stationary at a level and few after the first difference. Empirical model estimation with ARDL, Long-run cointegration revealed with the tests of FPSS, WPSS, and tBDM by rejecting the null hypothesis of "no cointegration." This finding suggests that, in the long-run financial innovation, FDI inflows, and exchange rate volatility move together. Moreover, study findings established adverse effects running from FDI inflows and financial innovation to exchange rate volatility in the long run. These findings suggest that continual FDI inflows and innovativeness in the financial system assist in lessening the volatility in the foreign exchange market. Furthermore, nonlinear ARDL confirms the presence of asymmetric cointegration in the model. The standard Wald test established asymmetric effects running from FDI inflows and financial innovation to exchange rate volatility, both in the long and short run. Directional causality unveils feedback hypothesis holds for explaining causality between FDI, financial innovation, and exchange rate volatility.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.27-35
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• 2023

Purpose: China's economy has changed considerably in recent decades. By delivering a comprehensive knowledge of the elements that support successful foreign direct investment (FDI) in China and practical insights for multinational firms operating in this dynamic environment, this research offers a new perspective and sets itself apart from previous studies. Research design, data and methodology: It is necessary to give a thorough overview of the body of information on successful FDI in China, which justifies the adoption of a systematic literature review. The study may use a wide range of studies because of this methodology, which guarantees that inferences have a solid and supported basis in data. Results: The findings in the present study have clarified how China's government policies and regulatory framework affect foreign direct investment (FDI). Previous studies have indicated that regulatory changes can significantly impact FDI. For instance, more foreign direct investment (FDI) has been drawn to liberalized industries such as technology and finance. Conclusions: In conclusion, for foreign direct investment (FDI) to be successful in China, it is essential to consider these four factors: local partnerships and cultural adaptation, market research and entry strategy, regulatory environment and policy support, and risk management and contingency planning.