• Journal of Korea Trade
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• 제25권3호
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• pp.21-47
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• 2021

Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden costs and risks, such as those associated with the COVID-19 pandemic, the trade war between the USA and China, and the ongoing trade dispute between Korea and Japan. To obviate such business failure and prevent critical business blunders, offshoring strategies that efficiently consider both risk elements and potential wealth creation are urgently need. The first purpose of this study is to contribute to the development of more advanced offshoring strategies to help host countries select the best locations to manage supply chain risks and create unique value. The second purpose is to specifically analyze the current status of Korea and provide Korean companies with implications to be considered when deciding whether to offshore or re-shore. Design/methodology - A Network DEA model was applied to measure the comparative location efficiency of national competencies for offshoring strategy from perspectives of wealth creation opportunities (profitability and marketability) and supply chain risk management. The location efficiencies are compared among a total 70 countries selected from the Global Competitiveness Index (GCI) and globally attractive locations outlined by Kearney (2017). For the secondary analysis of efficiency, a t-test examining the nature of competitive advantage and the level of sophistication in production processes was implemented in three divisions. We then analyzed differences in offshoring performance in terms of the identified national traits. Moreover, Tobit regression analysis is conducted to investigate the correlation between value-added business activities and each divisional efficiency, seeking to determine how each degree of value-added business activity influences the increase in offshoring productivity. Findings - Regarding overall location efficiency for offshoring performance, only the USA and Italy were identified as being efficient as host countries for offshoring, under circumstances of advanced development, such as productivity and risk management. Korea ranks 13th among 70 countries. The determinants of national competitiveness depend on national traits (the nature of competitive advantage and business sophistication). Countries with labor/resource advantages and labor-intensive industries are more competitive in terms of marketability than others. In contrast, countries with strong technology-intensive industries benefit offshoring companies, particularly in the technology sector, with the added advantage of supply chain risk management. As the perception of a value chain is broader in a country, it can achieve both production sophistication and competitive advantages such as marketability and SCRM. Originality/value - Existing studies focus on offshoring effectiveness from a company perspective. This paper contributes to comparing country efficiency in producing core competencies related to an offshoring strategy and also segments countries into three performance-based considerations associated with the global offshoring market. It also details Korea's position as an offshoring location according to national efficiency and competency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권4호
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• pp.2038-2057
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• 2017

Gaussian learning is a new technology in the computational intelligence area. However, this technology weakens the learning ability of a particle swarm and achieves a lack of diversity. Thus, this paper proposes a vector Gaussian learning strategy and presents an effective approach, named particle swarm optimization based on vector Gaussian learning. The experiments show that the algorithm is more close to the optimal solution and the better search efficiency after we use vector Gaussian learning strategy. The strategy adopts vector Gaussian learning to generate the Gaussian solution of a swarm's optimal location, increases the learning ability of the swarm's optimal location, and maintains the diversity of the swarm. The method divides the states into normal and premature states by analyzing the state threshold of the swarm. If the swarm is in the premature category, the algorithm adopts an inertia weight strategy that decreases linearly in addition to vector Gaussian learning; otherwise, it uses a fixed inertia weight strategy. Experiments are conducted on eight well-known benchmark functions to verify the performance of the new approach. The results demonstrate promising performance of the new method in terms of convergence velocity and precision, with an improved ability to escape from a local optimum.

• 정보처리학회논문지A
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• 제10A권4호
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• pp.381-388
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• 2003

무선단말기에 도착하는 호의 연결을 위해서 유휴상태에 있는 무선단말기의 위치정보를 관리하는 위치추적 방법이 사용된다. 본 논문에서는 시간이 지남에 따라서 호도착율이 변화할 때에 적합한 호도착기록에 기반한 위치갱신 알고리즘을 제안한다. 이 알고리즘을 사용한 위치추적방법은 무선단말기의 호도착기록을 사용하여 호도착율의 변화를 파악하고, 이를 사용하여 현재의 호도착율에 적합한 타임아웃 주기를 계산한다. 그리고 이 방법에 대한 성능을 평가하기 위하여 고정/가변 호도착율에 대한 분석 모델과 그에 따른 분석 결과를 제시함으로써 호도착율의 변화에 적합함을 보인다.

• 한국통신학회논문지
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• 제36권12B호
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• pp.1736-1743
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• 2011

네트워크 중심전 수행을 위해서는 고속의 데이터 전송을 보장하는 전술통신망 구축이 필수적이다. 이에 군은 상용 Wireless BroadBand (Wibro) 장비를 활용한 전술이동통신체계(MSAP : Mobile Subscriber Access Point)를 개발하여 군 작전의 효율성을 높이는 방안에 대해 연구하고 있다. MSAP은 Wibro기반의 이동기지국 개념으로 기지국(Base Station)을 차량에 장착하여 이동성을 제공한다. 따라서 MSAP을 전장상황에 활용 시 고속의 데이터 전송을 통해 임무수행에 필요한 데이터들의 원활한 전송을 보장한다. 또한 MSAP은 차량화 되어 있어 전장 상황 변화 시 이에 맞추어 기동이 가능하다. 본 논문에서는 기계화부대, 전방 예비부대, 후방 예비부대, 지원부대, 포병 부대, 지휘소 등에 MSAP을 활용한 전술통신체계를 구축하여 작전 수행시에, 작전 부대들의 위치를 고려하여 이 부대들이 MSAP을 이용한 통신을 가능하게 하는 MSAP의 최적 위치 선정을 통해 최소의 MSAP장비로 작전지역에 고속의 통신환경을 구축하는 방안에 대해 제시한다. 이에 관한 수리적 모델을 제시한 후 이를 해결하기 위한 알고리즘을 제안하고 그 적용결과를 제시한다.

• Management Science and Financial Engineering
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• 제14권2호
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• pp.1-12
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• 2008

This study explores several donor location strategies and discusses experiment results, which contributes to the saving of time and effort required in designing data fusion processes. In particular, three concepts are introduced. The Mahalanobis distance is applied to locate the nearest neighbors more effectively; which incorporates the covariance structure of attributes. The ideal point helps reduce the dimensionality problem that arises in conjoint-type experiments. The correspondence analysis is used to derive the coordinates from non-metric attributes. The Monte Carlo simulation results show that the proposed donor location strategies provide better fusion performance, compared to the currently-in-use methods.

• 전기학회논문지
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• 제66권3호
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• pp.599-604
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• 2017

Nowadays reactance method is being used as a technique for fault location in parallel feeding AC traction power system. However, implementation of this method requires a large number of field tests(ground fault) which is a huge burden on the operators. This paper presents a new estimation technique using quadratic interpolation to reduce number of times for field test and improves the accuracy of fault location. To verify a new technique, we solve AT feeding circuit and model it using PSCAD/EMTDC. Finally this paper conducts a comparative analysis of usefulness between a new technique and real field data.

• Journal of the Korean Statistical Society
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• 제33권1호
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• pp.59-78
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• 2004

A regression function in generalized linear model may have a discontinuity/change point at unknown location. In order to estimate the location of the discontinuity point and its jump size, the strategy is to use a nonparametric approach based on one-sided kernel weighted local-likelihood functions. Weak convergences of the proposed estimators are established. The finite-sample performances of the proposed estimators with practical aspects are illustrated by simulated examples.

• KIEE International Transactions on Power Engineering
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• 제5A권2호
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• pp.144-151
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• 2005

This paper presents a framework for determining control strategies against unwanted tripping actions during relay operation that plays a very important role in cascading events leading to voltage collapse. The framework includes an algorithm for quick identification of possible zone 3 relay operation during voltage instability. Furthermore, it comes up with the control strategy of load shedding at the selected location with active power and relay margin criteria. In addition, Quasi Steady-State (QSS) simulation is employed to obtain time-related information that is valuable in the determination of control strategy. As a case study, an example applying the framework is shown with the modified New England 39-bus system.

• 한국실내디자인학회논문집
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• 제39호
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• pp.92-99
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• 2003

Big 3 Korean department stores - Lotte, Hyundai, and Shinsegae have pursued a differentiation strategy in order to survive the era of big-bang. This study has proposed to present a frame work with which we can recognize the character of design, which is pertinent to a differentiation strategy. The results of study are as follow ; 1) Lotte department store reveals the 3 strategies - location, composition and specialization strategy and the character of design has traditional, high class and neutral disposition. 2) Hyundai department store reveals high class strategy and the character of design has high class and modern disposition. 3) Shinsegae department store reveals high class and specialization strategies and the character of design has high class, tradition and modem disposition.

• ETRI Journal
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• 제41권3호
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• pp.326-336
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• 2019

A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a wide-spread research problem. In this paper, we propose a demand-based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to-be-charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K-means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on-demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility.