• 기술혁신연구
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• 제24권2호
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• pp.1-20
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• 2016

본 사례는 기술융합의 구조를 네트워크 기법을 이용하여 분석한 것이다. 좀 더 구체적으로 설명하면, 제품군을 매개로 투입기술들 간의 융합구조를 네트워크 분석 기법을 적용하여 분석하였으며, 제품군과 투입기술을 동시에 고려하기 위해서 2-mode 네트워크 분석을 적용하였다. 제품군은 개발목표에서 파악하여 표준산업분류에 따라 정의하고 기술은 개발에 투입된 기술들로 파악하여 국가과학기술표준분류에 따라 정의하였다. 본 연구의 대상은 중소기술정보진흥원의 융복합기술개발 사업에 신청한 401개 과제이다. 분석결과, IT분야는 특정기술이 다양한 제품군에 연결되는 구조이지만 BT분야에서는 특정 제품군을 중심으로 일부 기술은 공통적으로 적용되지만 상당수의 기술이 각기 제품군에 투입되고 있는 형태이다. 따라서 융합분야 마다 기술융합의 구조가 다른 것을 파악할 수 있었다. 투입기술의 연결중심성과 제품군을 매개로한 투입기술의 연결 중심성도 약시 차이가 있다. IT분야에서는 임베디드S/W가 2가지 경우에 모두 연결중심성이 가장 높았다. BT에서 발효공학과 기능성화장품기술이 투입기술의 연결중심성은 가장 높았지만 기능성화장품기술만 제품군을 매개로 투입기술의 연결중심성은 가장 높다. 즉, 특정제품군에 투입빈도가 높은 기술이다. 본 사례는 실제 기술개발과제에서 기술융합을 정의하고 그 구조를 분석하였다는 것이다. 본 사례의 의미는 융합기술개발과제를 관리하고 기획하는 데 유용한 분석 툴을 제시했다는 것이다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제3권4호
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• pp.188-193
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• 2003

This paper describes a novel burst-mode clock and data recovery (CDR) circuit which can be used for 622Mbps burst mode applications. The CDR circuit is basically a phase locked loop (PLL) having two phase detectors (PDs), one for the reference clock and the other for the NRZ data, whose operations are controlled by an external control signal. This CDR was fabricated in a 1-poly 5-metal $0.25{\;}\mu\textrm{m}$ CMOS technology. Jitter generation, burst/continuous mode data receptions were tested. Operational frequency range is 320Mhz~720Mhz and BER is less than 1e-12 for PRBS31 at 622Mhz. For the same data sequence, the extracted clock jitter is less than 8ps rms. Power consumption of 100mW was measured without I/O circuits.

• 한국시뮬레이션학회논문지
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• 제3권1호
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• pp.151-165
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• 1994

Broadband network based on the Asynchronous Transfer Mode(ATM) concept are becoming the target technology for the emerging Broadband Integrated Services Digital Network(B-ISDN). Since B-ISDN is very complex and requites a great amount of investment, optimum design and performance analysis of such systems are very important. Simulation can be widely used to analyze and examine the broadband network behavior. However, for the complicated system like broadband networks it is extremely difficult and time-consuming to develop a complete model for simulation. In this paper, an object-oriented modeling approach for the broadband network simulation is presented for the effective and efficient modeling. Object-oriented approaches can provide a good structuring capability for complicated simulation models and facilitate the development of reusable and extensible simulation models. We have developed an object-oriented model which consists of object model and behavior model. In the object mode., the components of the broadband network and both constant bit rate(CBR) and variable bit rate(VBR) traffic types of call level, burst level, and cell level are modeled as object classes. In the behavior model, the dynamic features for each object class are represented using the state transition diagram. It has been shown by illustration that objectoriented modeling is an effective tool for modeling the complicated B-ISDN.

• 대한전자공학회논문지TC
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• 제49권1호
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• pp.59-67
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• 2012

본 논문은 10G G-PON(Gigabit passive optical network) 네트워크와 NGN(Next generation network) 연동 구조를 설계하고, 10G G-PON 연동 시 문제점 해결을 위한 동적 GEM(G-PON encapsulation mode) Port-ID 할당 방법을 제안했다. 동적 GEM Port-ID 할당 방법은 OMCI(ONT management control and interface) 구조 설계를 통해 IP 주소와 포트 번호를 혼합한 형태의 맵핑 구조를 갖는다. 이는 NGN이 요구하는 클래스 기반 QoS(Quality of service) 뿐만 아니라 트래픽 단위의 QoS 지원까지 가능한 구조로서, 기존 G-PON 네트워크를 NGN에 그대로 적용시킨 구조 보다 QoS 지원에 있어 30% 이상 성능을 향상 시킨다.

• 전기의세계
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• 제26권1호
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• pp.63-70
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• 1977

This paper deals with computer analysis technique of the network having 3-terminal elements whose input and output characteristics are defined by nonuniform spacing function group on the volt-ampere space. Developing the algorithms to obtain the solutions of the network mentioned above by computer, we propose optimization technique, which can solve the normal form equations of the network defined in this paper and which involves mode analysis technique to be able to analyze the case that the function group has negative resistance characteristics.

• Journal of Information Processing Systems
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• 제7권4호
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• pp.679-690
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• 2011

In this paper we consider a local area network (LAN) of dual mode service where one is a token bus and the other is a carrier sense multiple access with a collision detection (CSMA/CD) bus. The objective of the paper is to find the overall cell/packet dropping probability of a dual mode LAN for finite length queue M/G/1(m) traffic. Here, the offered traffic of the LAN is taken to be the equivalent carried traffic of a one-millisecond delay. The concept of a tabular solution for two-dimensional Poisson's traffic of circuit switching is adapted here to find the cell dropping probability of the dual mode packet service. Although the work is done for the traffic of similar bandwidth, it can be extended for the case of a dissimilar bandwidth of a circuit switched network.

• 한국해양공학회지
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• 제16권1호
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• pp.8-15
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• 2002

This paper presents a neural net based nonlinear adaptive controller for an autonomous underwater vehicle (AUV). AUV's dynamics are highly nonlinear and their hydrodynamic coefficients vary with different operational conditions, so it is necessary for the high performance control system of an AUV to have the capacities of learning and adapting to the change of the AUV's dynamics. In this paper a linearly parameterized neural network is used to approximate the uncertainties of the AUV's dynamic, and the basis function vector of network is constructed according to th AUV's physical properties. A sliding mode control scheme is introduced to attenuate the effect of the neural network's reconstruction errors and the disturbances in AUV's dynamics. Using Lyapunov theory, the stability of the presented control system is guaranteed as well as the uniformly boundedness of tracking errors and neural network's weights estimation errors. Finally, numerical simulations for motion control of an AUV are performed to illustrate the effectiveness of the proposed techniques.

• Journal of Multimedia Information System
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• 제8권3호
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• pp.147-158
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• 2021

Versatile Video Coding (VVC) is the latest video coding standard developed by Joint Video Exploration Team (JVET). In VVC, the quadtree plus multi-type tree (QT+MTT) structure of coding unit (CU) partition is adopted, and its computational complexity is considerably high due to the brute-force search for recursive rate-distortion (RD) optimization. In this paper, we aim to reduce the time complexity of inter-picture prediction mode since the inter prediction accounts for a large portion of the total encoding time. The problem can be defined as classifying the split mode of each CU. To classify the split mode effectively, a novel convolutional neural network (CNN) called multi-level tree (MLT-CNN) architecture is introduced. For boosting classification performance, we utilize additional information including inter-picture information while training the CNN. The overall algorithm including the MLT-CNN inference process is implemented on VVC Test Model (VTM) 11.0. The CUs of size 128×128 can be the inputs of the CNN. The sequences are encoded at the random access (RA) configuration with five QP values {22, 27, 32, 37, 42}. The experimental results show that the proposed algorithm can reduce the computational complexity by 11.53% on average, and 26.14% for the maximum with an average 1.01% of the increase in Bjøntegaard delta bit rate (BDBR). Especially, the proposed method shows higher performance on the sequences of the A and B classes, reducing 9.81%~26.14% of encoding time with 0.95%~3.28% of the BDBR increase.

• 기술사
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• 제31권1호
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• pp.9-16
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• 1998

For the flow facing high1y informationized age, there is a flow from fixed communications connecting fixed places such as offices and homes to mobile communications connecting mobile objets such as automobiles, ships and aircraft. This flow has added to diversifying communications Including data and images. While the axed mode is diversifying information media by digitalization of communications network and computers, the mobile mode has brought higher sophistication of communication modes by a higher degree of electric wave utilization. The following descriptions outlines the mobile communication which is utilizing the electric wave phenomena. In sequence the following items are described: a brief history of mobile communications, the technical object and various kinds of services, propagation of electric wave signal.

• 대한의용생체공학회:의공학회지
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• 제41권1호
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• pp.48-54
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• 2020

In this paper, we deal with a liver fibrosis classification problem using ultrasound B-mode images. Commonly representative methods for classifying the stages of liver fibrosis include liver biopsy and diagnosis based on ultrasound images. The overall liver shape and the smoothness and roughness of speckle pattern represented in ultrasound images are used for determining the fibrosis stages. Although the ultrasound image based classification is used frequently as an alternative or complementary method of the invasive biopsy, it also has the limitations that liver fibrosis stage decision depends on the image quality and the doctor's experience. With the rapid development of deep learning algorithms, several studies using deep learning methods have been carried out for automated liver fibrosis classification and showed superior performance of high accuracy. The performance of those deep learning methods depends closely on the amount of datasets. We propose an enhanced U-net architecture to maximize the classification accuracy with limited small amount of image datasets. U-net is well known as a neural network for fast and precise segmentation of medical images. We design it newly for the purpose of classifying liver fibrosis stages. In order to assess the performance of the proposed architecture, numerical experiments are conducted on a total of 118 ultrasound B-mode images acquired from 78 patients with liver fibrosis symptoms of F0~F4 stages. The experimental results support that the performance of the proposed architecture is much better compared to the transfer learning using the pre-trained model of VGGNet.