• ETRI Journal
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• 제26권2호
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• pp.185-188
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• 2004

In this paper, we design a two-step scheduling algorithm to support multiple bandwidth allocation policies for upstream channel access in an Ethernet passive optical network. The proposed scheduling algorithm allows us a simultaneous approach for multiple access control policies: static bandwidth allocation for guaranteed bandwidth service and dynamic bandwidth allocation for on-demand, dynamic traffic services. In order to reduce the scheduling complexity, we separate the process of the transmission start- time decision from the process of grant generation. This technique does not require the timing information of other bandwidth allocation modules, so respective modules are free from a heavy amount of timing information or complex processing.

• 융합보안논문지
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• 제5권4호
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• pp.49-58
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• 2005

환자의 이동성과 경제적인 의료서비스를 제공하는 미래의 원격의료시스템으로서 유비쿼터스 센서 네트워크(USN) 구조를 제시한다. 본 USN 구조는 계층적 라우팅과 평면 라우팅을 접합하여 개선한 것으로서 멀티캐스팅 통신을 지원하는 셀 기반의 안전한 4계층 구조이다. 본 구조에서는 환자의 개인정보 보호 및 안전한 의료정보를 위하여 경량의 PKI 기반 보안 통신 프로토콜을 채택하고 있으며 이에 따른 핵심 통신 과정을 함께 제시하였다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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• pp.137-140
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• 2000

DNC(Direct Numerical Control) Network을 위한 프로그램을 효율적으로 하기 위해 현재 많은 시스템들이 개발되어 사용되고 있다. 그러나 이 시스템들은 원거리 상의 컴퓨터와 머시닝 센터의 제어기 간의 상호 연결이 원만하지 않아 작업에 비효율적인 면이 있고, 또 머시닝 센터에서의 데이터 송ㆍ수신에서 일어나는 오류 문제에 대한 시스템으로의 적절한 대처를 할 수가 없다는 문제점이 있다. 그래서, 본 논문에서는 DNC Network을 통해 머시닝 센터 제어기에서 컴퓨터의 데이터를 오류 없이 수신 가능한 데이터 원격 제어 시스템을 새로이 구성하였다. 이 데이터 원격 제어 시스템의 주요 장점으로는 기존에 일방향으로 구동되어지던 머시닝센터와 컴퓨터간의 Communication을 머시닝 센터에서 운영자가 자유로이 접근하여 컴퓨터에 저장된 NC 가공 데이터 호출과 송출이 자유롭고, 컴퓨터와 공작기계간의 상호 대화가 없이도 NC 공작기계 상에서 원격 제어(Remote Control)가 가능하다.

• 한국산업융합학회 논문집
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• 제22권2호
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• pp.87-93
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• 2019

This research deals with posture optimization for humanoid robot against external forces using genetic algorithm and neural network. When the robot takes a motion to push an object, the torque of each joint is generated by reaction force at the palm. This study aims to optimize the posture of the humanoid robot that will change this torque. This study finds an optimized posture using a genetic algorithm such that torques are evenly distributed over the all joints. Then, a number of different optimized postures are generated from various the reaction forces at the palm. The data is to be used as training data of MLP(Multi-Layer Perceptron) neural network with BP(Back Propagation) learning algorithm. Humanoid robot can find the optimal posture at different reaction forces in real time using the trained neural network include non-training data.

• Journal of information and communication convergence engineering
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• 제20권1호
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• pp.8-15
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• 2022

The new 5G radio technology (NR) can provide ultra-reliable low latency communications. The supporting 5G network infrastructure will move away from the previous point-to-point network architecture to a service-based architecture. 5G can provide three new things, i.e., wider channels, lower latency and more bandwidth. These will allow 5G to support three main types of connected services, including enhanced mobile broadband, mission-critical communications, and the massive Internet of Things (IoT). In 2015, the 5th generation (5G) mobile communication was officially approved by the International Telecommunication Union (ITU) as IMT-2020. Since then, 3GPP, the international organization responsible for 5G standards, is actively developing specifications for 5G technologies. 3GPP Release 15 provides the first full set of 5G standards, and the evolution and expansion of 5G are now being standardized in Release 16 and 17, respectively. This paper provides an overview of 3GPP 5G technologies and key services.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.52-60
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• 2022

Few-shot learning is a sub-area of machine learning problems, which aims to classify target images that only contain a few labeled samples for training. As a representative few-shot learning method, the Prototypical network has been received much attention due to its simplicity and promising results. However, the Prototypical network uses the sample mean of samples from the same class as the prototypes of that class, which easily results in learning uncharacteristic features in the low-data scenery. In this study, we propose to use local descriptors (i.e., patches along the channel within feature maps) from the same class to explicitly obtain more representative prototypes for Prototypical Network so that significant intra-class feature information can be maintained and thus improving the classification performance on few-shot learning tasks. Experimental results on various benchmark datasets including mini-ImageNet, CUB-200-2011, and tiered-ImageNet show that the proposed method can learn more discriminative intra-class features by the local descriptors and obtain more generic prototype representations under the few-shot setting.

• 한국산업융합학회 논문집
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• 제24권3호
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• pp.351-361
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• 2021

This study proposes an intelligent control of manufacturing robot with dual arm based on neural network for smart factory implementation. In the control method of robot system, the perspectron structure of single layer based on neural network is useful for simple computation. However, the limitations of computation are emerging in areas that require complex computations. To overcome limitation of complex parameters computation a new intelligent control technology is proposed in this study. The performance is illustrated by simulation and experiments for manufacturing robot dual arm robot with eight axes.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.288-290
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• 2004

Networked Digital Recorder(NDR) Platform is a system that owns contents jointly between tv viewers connected by the broadcast broadband convergence network. NDR suggests a new content distribution chain model that users can receive broadcast contents, share contents and sends contents by convergence network. This paper looks at the system requirements, service model and the overall system architecture of NDR platform.

• 융합보안논문지
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• 제2권2호
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• pp.9-17
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• 2002

트래픽 엔지니어링 기능은 트래픽 관리(Traffic Management), 용량 관리(Capacity Management), 그리고 네트워크 계획(Network Planning) 등을 포함한다. 본 논문에서는 트래픽 엔지니어링의 각각의 기능에 대해 설명하며, 멀티미디어 인터넷 망에서의 효율적인 트래픽 엔지니어링을 위한 기능 및 프로세스 모델을 제시하고 각 단계에서 필요한 구체적인 트래픽 관리방안을 소개한다.

• 융합보안논문지
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• 제2권2호
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• pp.89-97
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• 2002

멀티미디어 인터넷 망에서 호 라우팅은 번호나 이름을 라우팅 주소로 번역하며 라우팅 주소는 연결 설정을 위해 사용된다. 트래픽 엔지니어링 기능은 트래픽 관리(Traffic Management), 용량 관리(Capacity Management), 그리고 네트워크 계획(Network Planning) 등을 포함한다. 본 논문에서는 트래픽 엔지니어링의 기능 중 트래픽 관리 기능에서 호 라우팅(Call Routing)과 연결/베어러-패스라우팅을 위한 기본 기능을 제시한다.