• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.47-49
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• 2013

본 논문에서는 기존 중앙집중형 방식의 텔레프레즌스 시스템에서의 확장성 문제를 해결하기 위해서 미디어 트래픽을 분산해서 처리 할 수 있는 구조와 서비스를 확장하기 위해서 제어 플랜과 미디어 플랜을 분리하는 구조를 제안하고자 한다. 트래픽 분산 기술을 적용한 텔레프레즌스는 제어 플랜과 미디어 플랜이 분리되어 수행하기 때문에, 트래픽 분산 및 서비스 확장에 용이하며, 여러 개의 미디어 분산 처리기(DP)가 클라이언트의 트래픽을 나누어서 중계하고 전달하기 때문에, 중앙집중형 텔레프레즌스 구조에 비해서 어느 한 시스템에 많은 트래픽이 집중되지 않는다. 또한, 서버에서 클라이언트로 직접 트래픽이 전달되지 않고 미디어 분산 처리기와 미디어 분산 처리기 사이에 트래픽이 우선 전달되고, 로컬에서 트래픽이 복사되어 여러 개의 클라이언트로 전달되기 때문에 네트워크 코아망에서의 트래픽을 감소시키는 장점이 있다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1889-1890
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• 2008

본 연구에서는 퍼지 추론 메커니즘에 기반 한 Polynomial RBF Neural Network(p-RBFNN)를 설계하고 얼굴인식 문제로 적용하여 분류기로서의 성능을 분석한다. 제안된 p-RBFNN 구조는 FCM 클러스터링에 기반 한 분할 함수를 활성 함수로 사용하며, 다항식 함수로 구성된 연결가중치를 사용함으로서 기존 신경회로망 분류기의 선형적인 특성을 개선한다. p-RBFNN 구조는 언어적 해석관점에서 "If-then"의 퍼지 규칙으로 표현되며 퍼지 추론 메커니즘에 의해 구동된다. 즉 조건부, 결론부, 추론부 세 가지의 기능적 모듈로 나뉘어 네트워크 구조가 형성된다. 조건부는 FCM 클러스터링을 사용하여 입력 공간을 분할하고, 결론부는 분할된 로컬 영역을 다항식 함수로 표현한다. 마지막으로, 네트워크의 최종출력은 추론부의 퍼지추론에 의한다. 또한 제안된 p-RBFNN을 얼굴인식 문제로 적용하여 성능을 분석한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.591-596
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• 2019

In this paper, we implemented a deep learning operation structure with less influence of local PC performance. In general, the deep learning model has a large amount of computation and is heavily influenced by the performance of the processing PC. In this paper, we implemented deep learning operation using AWS and streaming server to reduce this limitation. First, deep learning operations were performed on AWS so that deep learning operation would work even if the performance of the local PC decreased. However, with AWS, the output is less real-time relative to the input when computed. Second, we use streaming server to increase the real-time of deep learning model. If the streaming server is not used, the real-time performance is poor because the images must be processed one by one or by stacking the images. We used the YOLO v3 model as a deep learning model for performance comparison experiments, and compared the performance of local PCs with instances of AWS and GTX1080, a high-performance GPU. The simulation results show that the test time per image is 0.023444 seconds when using the p3 instance of AWS, which is similar to the test time per image of 0.027099 seconds on a local PC with the high-performance GPU GTX1080.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.1
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• pp.52-75
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• 2021

The current Korean labour movement is at an impasse that is partly sustained by the idea of "strong" transnational corporations (TNCs) versus "weak" labour, and this perception is based on the "global-local dichotomy," wherein TNCs are depicted as abstract and structured entities operating at the global scale and workers are represented as having a concrete and weak presence within the local sphere. As an alternative perspective to break this "global" capital vs. "local" labour dichotomy, I focus on labour geography, which assumes that labour is not simply a factor of production but a sentient spatial actor that (un-)intentionally produces the landscape of capitalism. Borrowing insights from the multi-scalar perspective, this paper aims to understand the actual methods in which workers utilize spatial strategies through an empirical case study of the Nestlé Korea labour union strike in 2003. Based on this case study, this paper claims that workers are both capable of employing coordinated multi-scalar practices and can be more influential to the economic geographies of TNCs. Additionally, it suggests that workers' scalar practices are actually more complicated and multi-directional as a result of their complex and dynamic interactions with political, economic and cultural forces and actors at diverse geographical scales.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.5B
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• pp.413-420
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• 2006

HMIPv6 is designed to reduce the signaling load to external network and improve handover speed of MN by including Mobility Anchor Point(MAP) in local handover. However in this case of macro handover, it's just used pervious MIPv6 handover algorithm. So, it occurs packet loss and transmission delay problem. In this paper, we propose the mechanism applying the HMIPv6 for Fast Handover to choose suitable to the condition buffering handover. The condition for the selection is result distance measurement between MN and CN, between MN and NAR. Furthermore, using F-SNOOP protocol, it is possible to improve wireless network performance. Wireless network has high Bit Error Rate(BER) characteristic because of path loss, fading, noise and interference. TCP regards such errors as congestion and starts congestion control. This congestion control makes packet transmission rate low. However, F-SNOOP improves TCP performance based on SNOOP and Freeze TCP that use Zero Window Advertisement(ZWA) message when handoff occurs in wireless network.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.840-847
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• 2022

In a deep neural network (DNN)-based speech enhancement, using global and local input speech information is closely related to model performance. Recently, a nested U-Net structure that utilizes global and local input data information using multi-scale has bee n proposed. This nested U-Net was also applied to speech enhancement and showed outstanding performance. However, a single skip connection used in nested U-Nets must be modified for the nested structure. In this paper, we propose a multi-level skip connection (MLS) to optimize the performance of the nested U-Net-based speech enhancement algorithm. As a result, the proposed MLS showed excellent performance improvement in various objective evaluation metrics compared to the standard skip connection, which means th at the MLS can optimize the performance of the nested U-Net-based speech enhancement algorithm. In addition, the final proposed m odel showed superior performance compared to other DNN-based speech enhancement models.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.2
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• pp.83-101
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• 2015

This study aims to examine the capability of organizing local records. Based on literature reviews, this study identified that space can be a useful context of records. Accordingly, it designed a records model on additional space entity. It attempted to organize five sample records based on the space of the port of Busan (Busanhang) using CIDOC CRM (6.0). In conclusion, it presented that a space entity provides relations across other entities. As such, it is possible to propose a defining space entity when designing records model that can support the understanding of records' contexts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.1983-1989
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• 2012

This paper presents the stability analysis of UH-60 helicopter with external store such like chaff/flare dispenser. An external store can affect the natural frequency of the aircraft and induce the resonance, which cause the failure of structures. In this paper, therefore, Rayleigh method is used to investigate the resonance with aircraft and external store, and transmission formula is used to determine the vibration load. Structural analysis with local modeling method are performed to present the robust design of aircraft with external store. The ground and flight test are also done to verify the stability of the aircraft.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.70.2-70.2
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• 2018

플라즈마 전해 산화(Plasma Electrolytic Oxidation)는 일반 애노다이징 보다 더 높은 전류 혹은 전압을 금속(Al, Ti, Mg) 표면에 인가하여 산화피막을 전기화학적으로 형성시키는 금속표면처리 방법 중의 하나이다. 본 연구에서는 phosphate 수용액에서 정전류를 인가하여 NaOH의 농도에 따라 PEO(Plasma Electrolytic Oxidation) 피막 형성을 전압-시간 그래프 및 형성된 표면피막의 구조를 관찰하여 연구하였다. 실험에는 8 g/L의 sodium phosphate이 사용되었으며, 5 g/L ~ 9 g/L의 NaOH를 사용하였다. NaOH의 농도 상관없이 일부 영역에서만 반복적으로 아크가 발생하는 로컬 버닝 현상 없이 미세한 아크가 시표 표면 전체에 발생하였고, NaOH의 농도가 증가할수록 형성된 PEO 피막의 두께는 감소하고, 평균 표면 거칠기는 증가하는 경향을 보인다. 형성된 피막의 구조를 HR-SEM, EDX 등을 이용하여 관찰하였다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.29.2-29.2
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• 2018

플라즈마 전해 산화(Plasma Electrolytic Oxidation)는 일반 애노다이징 보다 더 높은 전류 혹은 전압을 금속(Al, Ti, Mg) 표면에 인가하여 산화피막을 전기화학적으로 형성시키는 금속표면처리 방법 중의 하나이다. 본 연구에서는 phosphate 수용액에서 정전류를 인가하여 NaOH의 농도에 따라 PEO(Plasma Electrolytic Oxidation) 피막 형성을 전압-시간 그래프 및 형성된 표면피막의 구조를 관찰하여 연구하였다. 실험에는 8 g/L의 sodium phosphate이 사용되었으며, 5 g/L ~ 9 g/L의 NaOH를 사용하였다. NaOH의 농도 상관없이 일부 영역에서만 반복적으로 아크가 발생하는 로컬 버닝 현상 없이 미세한 아크가 시표 표면 전체에 발생하였고, NaOH의 농도가 증가할수록 형성된 PEO 피막의 두께는 감소하고, 평균 표면 거칠기는 증가하는 경향을 보인다. 형성된 피막의 구조를 HR-SEM, EDX 등을 이용하여 관찰하였다.