• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.9
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• pp.4317-4335
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• 2018

Semi-supervised multi-view latent space learning is gaining considerable popularity recently in many machine learning applications due to the high cost and difficulty to obtain the large amount of label information of data. Although some semi-supervised multi-view latent space learning methods have been presented, there is still much space for improvement: 1) How to learn latent discriminant intact feature representations by employing data of multiple views; 2) How to exploit the manifold structure of both labeled and unlabeled point in the learned latent intact space effectively. To address the above issues, we propose an approach called semi-supervised multi-view manifold discriminant intact space learning ($SM^2DIS$) for image classification in this paper. $SM^2DIS$ aims to seek a manifold discriminant intact space for data of different views by making use of both the discriminant information of labeled data and the manifold structure of both labeled and unlabeled data. Experimental results on MNIST, COIL-20, Multi-PIE, and Caltech-101 databases demonstrate the effectiveness and robustness of our proposed approach.

• Korean Journal of Remote Sensing
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• v.37 no.4
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• pp.719-731
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• 2021

This study proposes a two-stage hybrid classification model for crop classification using multi-temporal remote sensing images; the model combines feature embedding by using an autoencoder (AE) with a convolutional neural network (CNN) classifier to fully utilize features including informative temporal and spatial signatures. Long short-term memory (LSTM)-based AE (LAE) is fine-tuned using class label information to extract latent features that contain less noise and useful temporal signatures. The CNN classifier is then applied to effectively account for the spatial characteristics of the extracted latent features. A crop classification experiment with multi-temporal unmanned aerial vehicle images is conducted to illustrate the potential application of the proposed hybrid model. The classification performance of the proposed model is compared with various combinations of conventional deep learning models (CNN, LSTM, and convolutional LSTM) and different inputs (original multi-temporal images and features from stacked AE). From the crop classification experiment, the best classification accuracy was achieved by the proposed model that utilized the latent features by fine-tuned LAE as input for the CNN classifier. The latent features that contain useful temporal signatures and are less noisy could increase the class separability between crops with similar spectral signatures, thereby leading to superior classification accuracy. The experimental results demonstrate the importance of effective feature extraction and the potential of the proposed classification model for crop classification using multi-temporal remote sensing images.

• Proceedings of the IEEK Conference
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• 2000.11a
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• pp.29-32
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• 2000

MPLS stands for “Multi-protocol Label Switching”. It's a layer 3 switching technology aimed at greatly improving the packet forwarding performance of the backbone routers in the Internet or other large networks. We compare the performance of unlabeled IP traffic and labeled IP traffic. In this paper, by varying the packet rate and measuring throughput of the flows we analyze the performance of labeled IP packet traffic and unlabeled IP packet traffic in IP over MPLS.

• Proceedings of the IEEK Conference
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• 2000.11a
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• pp.33-36
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• 2000

Multi-protocol Label Switching is a comparatively new technology based on the association of labels with routes and the use of labels to forward packets. MPLS can be used for transport of any level 3 protocol over any level 2 technology. Differentiated Services define a model for implementing scalable differentiation of QoS in the Internet. The inherent characteristics of MPLS make it a very good candidate for providing Differentiated Services. In this paper we describe various approaches which can be used to support differentiated services in MPLS environments.

• Information and Communications Magazine
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• v.21 no.7
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• pp.94-116
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• 2004

1968년 ARPA 네트워크의 출현 이후 음성 서비스 위주의 네트워크와 데이터 서비스 위주의 네트워크는 서로의 서비스를 수용하기 위해 노력해왔다. 음성 기반의 네트워크에서 데이터를 수용하기 위한 노력은 ‘꿈의 망’으로 그친 ISDN(Integrated Services Digital Network)으로 나타났고, 데이터 기반의 네트워크에서 음성을 수용하기 위한 노력은 보편적인 비연결형 데이터 서비스와는 대비되는 B-ISDN(Broadband-ISDN)으로 나타났다. 이후 다시 B-ISDN은 IP 서비스의 수용을 위해 ATM 교환기를 MPLS(Multi Protocol Label Switching) 교환기로 대치하여 보완하고 있지만, VoIP(Voice over IP)등 음성서비스의 제공에는 아직 완전한 해법이 제시되지 못하고 있다.(중략)

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.453-456
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• 2003

DWDM(Dense Wavelength Division Multiplexing) 기반의 광 네트워크가 범 세계적인 차세대 광 인터넷(NGOI: Next Generation Optical Internet) 백본망의 대안으로 인식되고 있으나, 기존의 전기적인 오버헤드 비트를 이용한 전송 관리 정보의 사용이 더 이상 유효하지 않아 장애 관리에 많은 문제점을 드러내고 있다. 본 논문에서는 NGOI 백본망의 링크 관리를 위해 광 성능 모니터링 시스템 및. GMPLS(Generalized Multi-Protocol Label Switching)의 링크 관리 프로토콜(LMP: Link Management Protocol)을 활용한 관리 모델을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.370-373
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• 1998

현재 인터넷상의 QoS(Quality of Service) 향상을 위해서 여러 가지 방법과 기술들이 소개되고 있다. 이러한 QoS 향상을 위해 트래픽 제어기법과 IS(Integrated Services), DS(Differentiated Services), Tag Switching, MPLS(Multi protocol Label Switching) 등과 같은 방법으로 인터넷에서 보다 나은 서비스를 지원하려는 노력이 시도되고 있다. 본 논문에서는 특히 TCP connection에서의 initial window size의 변경이 네트워크의 QoS, 즉 link의 utilization과 packet의 drop, performance에 어떠한 영향을 주는지를 살펴본다. 그리고, 이에 대한 특성을 분석하고 개선점을 현재의 인터넷에서 가장 많이 사용되어지고 있는 FTP와 web에 대한 모델을 사용하여 가상적으로 시뮬레이션을 해본다.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1491-1494
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• 2002

The paper introduces a novel system of two hands real-time tracking based on the unrestricted hand skin segmentation by multi color systems. After corer-based segmentation and pre-processing operation, a label set of regions is created to locate the two hands automatically. By the normalization, template matching is used to find out the left or right hand. An improved fast self-adaptive tracking algorithm is applied and Canny filter is used for hand detection.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.163-165
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• 2001

본 논문에서는 먼저 Forwarding 방식의 라우팅 프로토콜인 MPLS(Multi-Protocol Label Switching)와 네트웍에서의 Traffic Engineering(TE)에 대한 개괄적인 설명과 함께, MPLS 네트웍 내에서의 트래픽 엔지니어링에 대해 기술한다. 그리고 MPLS 도메인 양 끝단에서 단일 경로의 패킷에 대한 MPLS 헤더의 레이블 번호를 이용한 동일한 패킷인지에 대한 확인 방안과 MPLS 도메인 내에서 Loss Detection 메커니즘을 이용한 효율적인 트래픽 엔지니어링방안을 제안한다. 향후 본 연구 방안을 적용하게 되면, 차등 서비스(Differentiated Services, Diffserv)를 제공하는 네트웍 환경의 핵심 망과 Mobile IP 기반의 무선 네트웍 환경에서 유선 네트웍의 Quality of Service(QoS)를 향상시킬 수 있을 것이다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.7
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• pp.1-11
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• 2002

This paper proposes that an efficient routing entry sending method between routing controller FE. based on this method, we organize IP VPN support method based on MPLS network and design MPLS-VPN service control module, MPLS-VPN processing, VPN group configuration and LSP setup processing. We evaluate the performance about the VPN based on proposed MPLS, at the result of evaluation. We figure out that based on proposed IPC method, lost packets number reduces and delay increases more slowly in case of VPN based on MPLS comparing with the VPN based on ATM which has rapid delay increasement. Therefore we confirm that the VPN based on MPLS has high speed of packet processing and high utilization of buffers through the performance evaluation.