• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.4
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• pp.1-12
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• 2018

Purpose - This paper tests the effect of the structure of manufacturing and marketing subsidiary network on FX exposure of Korean MNEs. Furthermore, the moderating effect of pass-through ability on the relationship between the subsidiary network and FX exposure is explored. Research design and methodology - This study utilizes a sample of 309 Korean MNEs constructed from database offered by KOTRA and KIS-VALUE. Results - As operational flexibility arising from having operations in multiple locations provides an option for firms to tackle FX exposure, greater breadth of manufacturing subsidiary network reduces FX exposure, and greater depth increases FX exposure. However, both the breadth and depth of marketing subsidiary network decrease FX exposure due to the firm's higher level of market presence and knowledge to devise an appropriate marketing strategy that can buffer adverse exchange rate movement. Such an effect is intensified when MNE's have FX exposure pass-through ability stemming from differentiated good. Conclusions - Empirical findings suggest that types and structure of Korean MNEs' foreign subsidiary network are closely related to the level of FX exposure they are experiencing. Also, they can utilize marketing subsidiary network more efficiently when having a higher R&D intensity.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.36 no.2
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• pp.140-147
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• 1987

In this paper, seven-order elliptic low-pass passive network is synthesized by using doublyterminated ladder network is directly transformed into the active network which has the advantage of low sensitivity and can be realized conveniently. The circuit simulation results of passive network and active network synthesized with FDNR and Leap-frog technique are compared, and it is proved that the two rest work has the same characteristics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.649-651
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• 2016

Wireless Sensor Network(WSN) consists of spatially distributed sensors to monitor physical conditions, such as temperature, light and motion, and to pass their data through the network to a base station. Each battery equipped node is consumed to pass their data to their neighbors. We are gathering the amount of energy that was consumed to gather data and to pass it This paper describes processes of energy consumption of WSN in Matlab.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.7
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• pp.1036-1044
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• 1995

In this paper, a band-pass filter is implemented with the diffusion and difference processes by using the diffusion neural network model. The center frequency of this band-pass filter can be varied by iterations of the diffusion and difference operations, and the selectivity can be determined by iterations of the difference operation. We propose an efficient algorithm that can generate various band-pass filters using arbitrary diffusion and difference iterations. This algorithm needs only simple operations of diffusion and difference.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.105-107
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• 1999

최근 컴퓨터와 제반 기술들의 눈부신 발달로 인해 대용량의 멀티미디어 데이터를 다루는 서비스들이 많이 등장하고 있다. 주문형 비디오 서비스(Video on Demand)가 가장 대표적인 예라고 할 수 있으며, 이를 구현하기 위한 많은 방법들이 제안되고 있다. 본 논문에서는 현재까지 개발되어 있는 VoD 시스템에 관하여 살펴보고, 이를 기반으로 PASS(Parallel and Scalable Server) VoD 시스템을 제안한다. PASS VoD 시스템은 병렬 비디오 서버로서 SAN(System Area Network)로 연결된 independent proxy 구조와 비슷한 구조를 가지는 시스템이다. 본 논문에서는 PASS VoD 시스템에 대하여 설명하고 PASS VoD 시스템이 scalable 함을 시뮬레이션을 통하여 확인하였다.

• Proceedings of the KWS Conference
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• 2002.10a
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• pp.301-306
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• 2002

This paper presents the use of the neural network technology to establish a mathematical model for predicting bead geometry (top-bead width, top-bead height, back-bead width and back-bead height) for multi-pass welding, and understand relationships between process parameters and bead geometry for robotic GMA welding process. Using a series of robotic arc welding, additional multi-pass butt welds were carried out in order to verify the performance of the developed neural network model. The results show that not only the proposed model can predict the bead geometry with reasonable accuracy and guarantee the uniform weld quality, but also the neural network model could be better than the linear and curvilin ear equations developed from Lee [8].

• Journal of Digital Convergence
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• v.15 no.7
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• pp.479-487
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• 2017

The purpose of this study was to identify the most influential soccer players by appling social network analysis. The subjects were the German national soccer team and the Korean national soccer team participated in the 2016 Brazil World Cup. The pass collected data provided by FIFA were analyzed by social network analysis using the Ucinet6 program and pass success rate. The results are as follows. First, the soccer player with a lot of passes had a high connection centrality in pass-through networks and high proximity. Second, the German national soccer team has appeared key players as Phillip Lahm and Kroos player, and a key player of the Korean national soccer team was Ki,S.Y. Third, the German national soccer team's quantitative indicator value of proximity center and pass success rate appeared higher than the Korean national soccer team's.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.8
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• pp.20-26
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• 1997

In this paper, we propose a tunable drop/pass filter in the form of composed of Mach-Zehnder interferometer, to which a fiber grating and two PZTs are attached. The proposed drop/pass filter drops a part of signal power at a specific wavelength and pass the remnant of the signal to the next node in WDM network. Our simulation results show that the optical feedback is less than 2% and the drop to pass ratio can be made bigger than 10% if the phase difference between the two arms is within .+-.0.2.pi. from (2m+1).pi.. Also, the output powers at drop prot and pass port are measured to be maximum at the phase difference of .pi./2 and .pi., respectively, as expected.

• MALSORI
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• no.50
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• pp.51-69
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• 2004

In this paper, we present a one-pass semi-dynamic network decoding framework that inherits both advantages of fast decoding speed from static network decoders and memory efficiency from dynamic network decoders. Our method is based on the novel language model network representation that is essentially of finite state machine (FSM). The static network derived from the language model network [1][2] is partitioned into smaller subnetworks which are static by nature or self-structured. The whole network is dynamically managed so that those subnetworks required for decoding are cached in memory. The network is near-minimized by applying the tail-sharing algorithm. Our decoder is evaluated on the 25k-word Korean broadcast news transcription task. In case of the search network itself, the network is reduced by 73.4% from the tail-sharing algorithm. Compared with the equivalent static network decoder, the semi-dynamic network decoder has increased at most 6% in decoding time while it can be flexibly adapted to the various memory configurations, giving the minimal usage of 37.6% of the complete network size.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.346-348
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• 2001

최근에 등장한 Gigabit Ethernet은 LAN 에서 MAN 가지 영역을 확장하고 있다. 그리고, 품질 보장 서비스를 위해 RFC 2205에 정의된 RSVP(Resource Reservation Protocol)는 확장성 등의 내부적인 문제로 사용이 적다. 좀더 나은 품질 보장 서비스를 하기 위한 노력 중 하나로 RFC2814 에서는 SBM(Subnet Bandwidth Manager) 이라 하여 RSVP를 IEEE 802형태의 LAN에서 구현하자고 노력하고 있다. 이에 본 논문에서는 기존의 RSVP 의 문제점 중 하나인 killer problem 을 해결하기 위만 Two-pass RSVP 개념을 SBM에서 적용할 방안을 제시하고자 한다.